Isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency of plants

ABSTRACT

Provided are isolated polypeptides which are at least 80% homologous to SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, isolated polynucleotides which are at least 80% identical to SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, nucleic acid constructs comprising same, transgenic cells expressing same, transgenic plants expressing same and method of using same for increasing yield, abiotic stress tolerance, growth rate, biomass, vigor, oil content, photosynthetic capacity, seed yield, fiber yield, fiber quality, fiber length, and/or nitrogen use efficiency of a plant.

RELATED APPLICATIONS

This application is a National Phase of PCT Patent Application No.PCT/IL2013/051042 having International filing date of Dec. 19, 2013,which claims the benefit of priority under 35 USC § 119(e) of U.S.Provisional Patent Application Nos. 61/811,757 filed on Apr. 14, 2013and 61/745,784 filed on Dec. 25, 2012. The contents of the aboveapplications are all incorporated by reference as if fully set forthherein in their entirety.

SEQUENCE LISTING STATEMENT

The ASCII file, entitled 62549SequenceListing.txt, created on Jun. 24,2015, comprising 16,550,521 bytes, submitted concurrently with thefiling of this application is incorporated herein by reference.

FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to novelpolynucleotides and polypeptides which can increase nitrogen useefficiency, fertilizer use efficiency, yield (e.g., seed/grain yield,oil yield), growth rate, vigor, biomass, oil content, fiber yield, fiberquality and/or length, abiotic stress tolerance and/or water useefficiency of a plant.

A common approach to promote plant growth has been, and continues to be,the use of natural as well as synthetic nutrients (fertilizers). Thus,fertilizers are the fuel behind the “green revolution”, directlyresponsible for the exceptional increase in crop yields during the last40 years, and are considered the number one overhead expense inagriculture. For example, inorganic nitrogenous fertilizers such asammonium nitrate, potassium nitrate, or urea, typically accounts for 40%of the costs associated with crops such as corn and wheat.

Of the three macronutrients provided as main fertilizers [Nitrogen (N),Phosphate (P) and Potassium (K)], nitrogen is often the rate-limitingelement in plant growth and all field crops have a fundamentaldependence on inorganic nitrogenous fertilizer. Nitrogen is responsiblefor biosynthesis of amino and nucleic acids, prosthetic groups, planthormones, plant chemical defenses, etc. and usually needs to bereplenished every year, particularly for cereals, which comprise morethan half of the cultivated areas worldwide. Thus, nitrogen istranslocated to the shoot, where it is stored in the leaves and stalkduring the rapid step of plant development and up until flowering. Incorn for example, plants accumulate the bulk of their organic nitrogenduring the period of grain germination, and until flowering. Oncefertilization of the plant has occurred, grains begin to form and becomethe main sink of plant nitrogen. The stored nitrogen can be thenredistributed from the leaves and stalk that served as storagecompartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must besupplied to growing crops two or three times during the growing season.In addition, the low nitrogen use efficiency (NUE) of the main crops(e.g., in the range of only 30-70%) negatively affects the inputexpenses for the farmer, due to the excess fertilizer applied. Moreover,the over and inefficient use of fertilizers are major factorsresponsible for environmental problems such as eutrophication ofgroundwater, lakes, rivers and seas, nitrate pollution in drinking waterwhich can cause methemoglobinemia, phosphate pollution, atmosphericpollution and the like. However, in spite of the negative impact offertilizers on the environment, and the limits on fertilizer use, whichhave been legislated in several countries, the use of fertilizers isexpected to increase in order to support food and fiber production forrapid population growth on limited land resources. For example, it hasbeen estimated that by 2050, more than 150 million tons of nitrogenousfertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to becultivated with lower fertilizer input, or alternatively to becultivated on soils of poorer quality and would therefore havesignificant economic impact in both developed and developingagricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can begenerated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described inU.S. Pat. Appl. Publication No. 20020046419 (U.S. Pat. No. 7,262,055 toChoo, et al.); U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S.Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007(Engineering nitrogen use efficiency with alanine aminotransferase.Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004(Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8)describe Dofl transgenic plants which exhibit improved growth underlow-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stressresponsive promoter to control the expression of Alanine AmineTransferase (AlaAT) and transgenic canola plants with improved droughtand nitrogen deficiency tolerance when compared to control plants.

Yield is affected by various factors, such as, the number and size ofthe plant organs, plant architecture (for example, the number ofbranches), grains set length, number of filled grains, vigor (e.g.seedling), growth rate, root development, utilization of water,nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for overhalf of total human caloric intake, whether through direct consumptionof the seeds themselves or through consumption of meat products raisedon processed seeds or forage. Seeds are also a source of sugars,proteins and oils and metabolites used in industrial processes. Theability to increase plant yield, whether through increase dry matteraccumulation rate, modifying cellulose or lignin composition, increasestalk strength, enlarge meristem size, change of plant branchingpattern, erectness of leaves, increase in fertilization efficiency,enhanced seed dry matter accumulation rate, modification of seeddevelopment, enhanced seed filling or by increasing the content of oil,starch or protein in the seeds would have many applications inagricultural and non-agricultural uses such as in the biotechnologicalproduction of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition inhuman and animal diet. They are also used for the production ofindustrial products, such as paints, inks and lubricants. In addition,plant oils represent renewable sources of long-chain hydrocarbons whichcan be used as fuel. Since the currently used fossil fuels are finiteresources and are gradually being depleted, fast growing biomass cropsmay be used as alternative fuels or for energy feedstocks and may reducethe dependence on fossil energy supplies. However, the major bottleneckfor increasing consumption of plant oils as bio-fuel is the oil price,which is still higher than fossil fuel. In addition, the production rateof plant oil is limited by the availability of agricultural land andwater. Thus, increasing plant oil yields from the same growing area caneffectively overcome the shortage in production space and can decreasevegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on theidentification of genes involved in oil metabolism as well as in genescapable of increasing plant and seed yields in transgenic plants. Genesknown to be involved in increasing plant oil yields include thoseparticipating in fatty acid synthesis or sequestering such as desaturase[e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis InformationResource (TAIR; arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA(TAIR No. AT3G01570) or FAD3 (TAIR No. AT2G29980), and varioustranscription factors and activators such as Led 1 [TAIR No. AT1G21970,Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300,Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-701, Fus3 (TAIR No.AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem.278(23): 21003-11] and Wri 1 [TAIR No. AT3G54320, Cernac and Benning,2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants(e.g., in seeds) include upregulating endoplasmic reticulum (FADS) andplastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., etal., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 andGmDof11 transcription factors (Wang H W et al., 2007; Plant J.52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenaseunder the control of a seed-specific promoter (Vigeolas H, et al. 2007,Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); usingArabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acidand oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans.28:935-7).

Various patent applications disclose genes and proteins which canincrease oil content in plants. These include for example, U.S. Pat.Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No.20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373[triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl.Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclosetransgenic plants with improved nitrogen use efficiency which can beused for the conversion into fuel or chemical feedstocks); WO2008/122980(polynucleotides for increasing oil content, growth rate, biomass, yieldand/or vigor of a plant).

Abiotic stress (ABS; also referred to as “environmental stress”)conditions such as salinity, drought, flood, suboptimal temperature andtoxic chemical pollution, cause substantial damage to agriculturalplants. Most plants have evolved strategies to protect themselvesagainst these conditions. However, if the severity and duration of thestress conditions are too great, the effects on plant development,growth and yield of most crop plants are profound. Furthermore, most ofthe crop plants are highly susceptible to abiotic stress and thusnecessitate optimal growth conditions for commercial crop yields.Continuous exposure to stress causes major alterations in the plantmetabolism which ultimately leads to cell death and consequently yieldlosses.

Drought is a gradual phenomenon, which involves periods of abnormallydry weather that persists long enough to produce serious hydrologicimbalances such as crop damage, water supply shortage and increasedsusceptibility to various diseases. In severe cases, drought can lastmany years and results in devastating effects on agriculture and watersupplies. Furthermore, drought is associated with increasesusceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. Inaddition, overuse of available water results in increased loss ofagriculturally-usable land (desertification), and increase of saltaccumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigatedland. None of the top five food crops, i.e., wheat, corn, rice,potatoes, and soybean, can tolerate excessive salt. Detrimental effectsof salt on plants result from both water deficit, which leads to osmoticstress (similar to drought stress), and the effect of excess sodium ionson critical biochemical processes. As with freezing and drought, highsalt causes water deficit; and the presence of high salt makes itdifficult for plant roots to extract water from their environment. Soilsalinity is thus one of the more important variables that determinewhether a plant may thrive. In many parts of the world, sizable landareas are uncultivable due to naturally high soil salinity. Thus,salination of soils that are used for agricultural production is asignificant and increasing problem in regions that rely heavily onagriculture, and is worsen by over-utilization, over-fertilization andwater shortage, typically caused by climatic change and the demands ofincreasing population. Salt tolerance is of particular importance earlyin a plant's lifecycle, since evaporation from the soil surface causesupward water movement, and salt accumulates in the upper soil layerwhere the seeds are placed. On the other hand, germination normallytakes place at a salt concentration which is higher than the mean saltlevel in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotichomeostasis signaling pathways. The ionic aspect of salt stress issignaled via the SOS pathway where a calcium-responsive SOS3-SOS2protein kinase complex controls the expression and activity of iontransporters such as SOS1. The osmotic component of salt stress involvescomplex plant reactions that overlap with drought and/or cold stressresponses.

Suboptimal temperatures affect plant growth and development through thewhole plant life cycle. Thus, low temperatures reduce germination rateand high temperatures result in leaf necrosis. In addition, matureplants that are exposed to excess of heat may experience heat shock,which may arise in various organs, including leaves and particularlyfruit, when transpiration is insufficient to overcome heat stress. Heatalso damages cellular structures, including organelles and cytoskeleton,and impairs membrane function. Heat shock may produce a decrease inoverall protein synthesis, accompanied by expression of heat shockproteins, e.g., chaperones, which are involved in refolding proteinsdenatured by heat. High-temperature damage to pollen almost alwaysoccurs in conjunction with drought stress, and rarely occurs underwell-watered conditions. Combined stress can alter plant metabolism innovel ways. Excessive chilling conditions, e.g., low, but abovefreezing, temperatures affect crops of tropical origins, such assoybean, rice, maize, and cotton. Typical chilling damage includeswilting, necrosis, chlorosis or leakage of ions from cell membranes. Theunderlying mechanisms of chilling sensitivity are not completelyunderstood yet, but probably involve the level of membrane saturationand other physiological deficiencies. Excessive light conditions, whichoccur under clear atmospheric conditions subsequent to cold latesummer/autumn nights, can lead to photoinhibition of photosynthesis(disruption of photosynthesis). In addition, chilling may lead to yieldlosses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed inXiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a)transient changes in the cytoplasmic calcium levels early in thesignaling event; (b) signal transduction via mitogen-activated and/orcalcium dependent protein kinases (CDPKs) and protein phosphatases; (c)increases in abscisic acid levels in response to stress triggering asubset of responses; (d) inositol phosphates as signal molecules (atleast for a subset of the stress responsive transcriptional changes; (e)activation of phospholipases which in turn generates a diverse array ofsecond messenger molecules, some of which might regulate the activity ofstress responsive kinases; (f) induction of late embryogenesis abundant(LEA) type genes including the CRT/DRE responsive COR/RD genes; (g)increased levels of antioxidants and compatible osmolytes such asproline and soluble sugars; and (h) accumulation of reactive oxygenspecies such as superoxide, hydrogen peroxide, and hydroxyl radicals.Abscisic acid biosynthesis is regulated by osmotic stress at multiplesteps. Both ABA-dependent and -independent osmotic stress signalingfirst modify constitutively expressed transcription factors, leading tothe expression of early response transcriptional activators, which thenactivate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can alsoimprove drought stress protection, these include for example, thetranscription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J.23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola etal. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmentalconditions are complex genetic traits with polygenic nature.Conventional means for crop and horticultural improvements utilizeselective breeding techniques to identify plants having desirablecharacteristics. However, selective breeding is tedious, time consumingand has an unpredictable outcome. Furthermore, limited germplasmresources for yield improvement and incompatibility in crosses betweendistantly related plant species represent significant problemsencountered in conventional breeding. Advances in genetic engineeringhave allowed mankind to modify the germplasm of plants by expression ofgenes-of-interest in plants. Such a technology has the capacity togenerate crops or plants with improved economic, agronomic orhorticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stresstolerance to transgenic crops, have been described in variouspublications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150,2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmström etal. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257,1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) andTarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteinswhich can be used for increasing tolerance of plants to abioticstresses. These include for example, U.S. Pat. Nos. 5,296,462 and5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No.6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasingABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (forincreasing ABST); U.S. application Ser. No. 10/231,035 (for increasingABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638(for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (forincreasing ABST, biomass, vigor and/or yield); WO2010/076756 (forincreasing ABST, biomass and/or yield); WO2009/083958 (for increasingwater use efficiency, fertilizer use efficiency, biotic/abiotic stresstolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogenuse efficiency, abiotic stress tolerance, yield and/or biomass);WO2009/141824 (for increasing plant utility); WO2010/049897 (forincreasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture,particularly notably for example is the root proliferation withinnutrient rich patches to increase nutrient uptake. Nutrient deficienciescause also the activation of plant metabolic pathways which maximize theabsorption, assimilation and distribution processes such as byactivating architectural changes. Engineering the expression of thetriggered genes may cause the plant to exhibit the architectural changesand enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to waterdeficiency by creating a deeper root system that allows access tomoisture located in deeper soil layers. Triggering this effect willallow the plants to access nutrients and water located in deeper soilhorizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used toproduce a wealth of consumer-based products in addition to textilesincluding cotton foodstuffs, livestock feed, fertilizer and paper. Theproduction, marketing, consumption and trade of cotton-based productsgenerate an excess of $100 billion annually in the U.S. alone, makingcotton the number one value-added crop.

Even though 90% of cotton's value as a crop resides in the fiber (lint),yield and fiber quality has declined due to general erosion in geneticdiversity of cotton varieties, and an increased vulnerability of thecrop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers witha range of characteristics can be obtained and used for variousapplications. Cotton fibers may be characterized according to a varietyof properties, some of which are considered highly desirable within thetextile industry for the production of increasingly high qualityproducts and optimal exploitation of modern spinning technologies.Commercially desirable properties include length, length uniformity,fineness, maturity ratio, decreased fuzz fiber production, micronaire,bundle strength, and single fiber strength. Much effort has been putinto the improvement of the characteristics of cotton fibers mainlyfocusing on fiber length and fiber fineness. In particular, there is agreat demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated froman epidermal cell of the seed coat, developing through four stages,i.e., initiation, elongation, secondary cell wall thickening andmaturation stages. More specifically, the elongation of a cotton fibercommences in the epidermal cell of the ovule immediately followingflowering, after which the cotton fiber rapidly elongates forapproximately 21 days. Fiber elongation is then terminated, and asecondary cell wall is formed and grown through maturation to become amature cotton fiber.

Several candidate genes which are associated with the elongation,formation, quality and yield of cotton fibers were disclosed in variouspatent applications such as U.S. Pat. No. 5,880,100 and U.S. patentapplication Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describinggenes involved in cotton fiber elongation stage); WO0245485 (improvingfiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588and WO0117333 (increasing fiber quality by transformation with a DNAencoding sucrose phosphate synthase); WO9508914 (using a fiber-specificpromoter and a coding sequence encoding cotton peroxidase); WO9626639(using an ovary specific promoter sequence to express plant growthmodifying hormones in cotton ovule tissue, for altering fiber qualitycharacteristics such as fiber dimension and strength); U.S. Pat. No.5,981,834, U.S. Pat. No. 5,597,718, U.S. Pat. No. 5,620,882, U.S. Pat.No. 5,521,708 and U.S. Pat. No. 5,495,070 (coding sequences to alter thefiber characteristics of transgenic fiber producing plants); U.S. patentapplications U.S. 2002049999 and U.S. 2003074697 (expressing a genecoding for endoxyloglucan transferase, catalase or peroxidase forimproving cotton fiber characteristics); WO 01/40250 (improving cottonfiber quality by modulating transcription factor gene expression); WO96/40924 (a cotton fiber transcriptional initiation regulatory regionassociated which is expressed in cotton fiber); EP0834566 (a gene whichcontrols the fiber formation mechanism in cotton plant); WO2005/121364(improving cotton fiber quality by modulating gene expression);WO2008/075364 (improving fiber quality, yield/biomass/vigor and/orabiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abioticstress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences forregulating gene expression in plant trichomes and constructs and methodsutilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatorysequences and constructs and methods of using such sequences fordirecting expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides andpolypeptides involved in plant fiber development and methods of usingsame for improving fiber quality, yield and/or biomass of a fiberproducing plant.

WO publication No. 2007/049275 discloses isolated polypeptides,polynucleotides encoding same, transgenic plants expressing same andmethods of using same for increasing fertilizer use efficiency, plantabiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abioticstress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methodsfor increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved inplant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water useefficiency, fertilizer use efficiency, biotic/abiotic stress tolerance,yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides andmethods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methodsof increasing abiotic stress tolerance, biomass and/or yield in plantsgenerated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogenuse efficiency, abiotic stress tolerance, yield and biomass in plantsand plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides forincreasing abiotic stress tolerance, yield, biomass, growth rate, vigor,oil content, fiber yield, fiber quality, and/or nitrogen use efficiencyof a plant.

WO2010/100595 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing plant yieldand/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides andpolypeptides and methods of using same for increasing plant yield,biomass, growth rate, vigor, oil content, abiotic stress tolerance ofplants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing nitrogen useefficiency, fertilizer use efficiency, yield, growth rate, vigor,biomass, oil content, abiotic stress tolerance and/or water useefficiency.

WO publication No. 2011/080674 discloses isolated polynucleotides andpolypeptides and methods of using same for increasing plant yield,biomass, growth rate, vigor, oil content, abiotic stress tolerance ofplants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides forincreasing desirable plant qualities.

WO2011/135527 publication discloses isolated polynucleotides andpolypeptides for increasing plant yield and/or agriculturalcharacteristics.

WO2012/028993 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing nitrogen useefficiency, yield, growth rate, vigor, biomass, oil content, and/orabiotic stress tolerance.

WO2012/085862 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for improving plant properties.

WO2012/150598 publication discloses isolated polynucleotides andpolypeptides and methods of using same for increasing plant yield,biomass, growth rate, vigor, oil content, abiotic stress tolerance ofplants and nitrogen use efficiency.

WO2013/027223 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing plant yieldand/or agricultural characteristics.

WO2013/080203 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing nitrogen useefficiency, yield, growth rate, vigor, biomass, oil content, and/orabiotic stress tolerance.

WO2013/098819 publication discloses isolated polynucleotides andpolypeptides, and methods of using same for increasing yield of plants.

WO2013/128448 publication discloses isolated polynucleotides andpolypeptides and methods of using same for increasing plant yield,biomass, growth rate, vigor, oil content, abiotic stress tolerance ofplants and nitrogen use efficiency.

SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present inventionthere is provided a method of increasing nitrogen use efficiency, yield,growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant, comprising expressing within the plant anexogenous polynucleotide comprising a nucleic acid sequence encoding apolypeptide at least 80% identical to SEQ ID NO: 202-219, 221-292,295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749,4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679,6689-6690, 6708-6785, 6792-6892 or 6893, thereby increasing the nitrogenuse efficiency, yield, growth rate, biomass, vigor, oil content, seedyield, fiber yield, fiber quality, fiber length, photosyntheticcapacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present inventionthere is provided a method of increasing nitrogen use efficiency, yield,growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant, comprising expressing within the plant anexogenous polynucleotide comprising a nucleic acid sequence encoding apolypeptide selected from the group consisting of SEQ ID NOs: 202-327and 4064-6893, thereby increasing the nitrogen use efficiency, yield,growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of the plant.

According to an aspect of some embodiments of the present inventionthere is provided a method of producing a crop comprising growing a cropplant transformed with an exogenous polynucleotide comprising a nucleicacid sequence encoding a polypeptide at least 80% homologous (e.g.,identical) to the amino acid sequence selected from the group consistingof SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210,4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493,5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and6792-6893, wherein the crop plant is derived from plants selected forincreased nitrogen use efficiency, increased yield, increased growthrate, increased biomass, increased vigor, increased oil content,increased seed yield, increased fiber yield, increased fiber quality,increased fiber length, increased photosynthetic capacity, and/orincreased abiotic stress tolerance as compared to a wild type plant ofthe same species which is grown under the same growth conditions, andthe crop plant having the increased nitrogen use efficiency, increasedyield, increased growth rate, increased biomass, increased vigor,increased oil content, increased seed yield, increased fiber yield,increased fiber quality, increased fiber length, increasedphotosynthetic capacity, and/or increased abiotic stress tolerance,thereby producing the crop.

According to an aspect of some embodiments of the present inventionthere is provided a method of increasing nitrogen use efficiency, yield,growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant, comprising expressing within the plant anexogenous polynucleotide comprising a nucleic acid sequence at least 80%identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323,2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953,3955-4061 or 4062, thereby increasing the nitrogen use efficiency,yield, growth rate, biomass, vigor, oil content, seed yield, fiberyield, fiber quality, fiber length, photosynthetic capacity, and/orabiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present inventionthere is provided a method of increasing nitrogen use efficiency, yield,growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant, comprising expressing within the plant anexogenous polynucleotide comprising the nucleic acid sequence selectedfrom the group consisting of SEQ ID NOs: 1-201 and 328-4062, therebyincreasing the nitrogen use efficiency, yield, growth rate, biomass,vigor, oil content, seed yield, fiber yield, fiber quality, fiberlength, photosynthetic capacity, and/or abiotic stress tolerance of theplant.

According to an aspect of some embodiments of the present inventionthere is provided a method of producing a crop comprising growing a cropplant transformed with an exogenous polynucleotide which comprises anucleic acid sequence which is at least 80% identical to the nucleicacid sequence selected from the group consisting of SEQ ID NOs: 1-91,94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843,3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plantis derived from plants selected for increased nitrogen use efficiency,increased yield, increased growth rate, increased biomass, increasedvigor, increased oil content, increased seed yield, increased fiberyield, increased fiber quality, increased fiber length, increasedphotosynthetic capacity, and/or increased abiotic stress tolerance ascompared to a wild type plant of the same species which is grown underthe same growth conditions, and the crop plant having the increasednitrogen use efficiency, increased yield, increased growth rate,increased biomass, increased vigor, increased oil content, increasedseed yield, increased fiber yield, increased fiber quality, increasedfiber length, increased photosynthetic capacity, and/or increasedabiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polynucleotide comprising a nucleic acidsequence encoding a polypeptide which comprises an amino acid sequenceat least 80% homologous to the amino acid sequence set forth in SEQ IDNO:202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580,4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812,5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, whereinthe amino acid sequence is capable of increasing nitrogen useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polynucleotide comprising a nucleic acidsequence encoding a polypeptide which comprises the amino acid sequenceselected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polynucleotide comprising a nucleic acidsequence at least 80% identical to SEQ ID NO: 1-91, 94-201, 328-2317,2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854,3856-3953, 3955-4061 or 4062, wherein the nucleic acid sequence iscapable of increasing nitrogen use efficiency, yield, growth rate,biomass, vigor, oil content, seed yield, fiber yield, fiber quality,fiber length, photosynthetic capacity, and/or abiotic stress toleranceof a plant.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polynucleotide comprising the nucleic acidsequence selected from the group consisting of SEQ ID NOs: 1-201 and328-4062.

According to an aspect of some embodiments of the present inventionthere is provided a nucleic acid construct comprising the isolatedpolynucleotide of some embodiments of the invention, and a promoter fordirecting transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polypeptide comprising an amino acidsequence at least 80% homologous to SEQ ID NO: 202-219, 221-292, 295-327and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778,4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690,6708-6785, 6792-6892, or 6893, wherein the amino acid sequence iscapable of increasing nitrogen use efficiency, yield, growth rate,biomass, vigor, oil content, seed yield, fiber yield, fiber quality,fiber length, photosynthetic capacity, and/or abiotic stress toleranceof a plant.

According to an aspect of some embodiments of the present inventionthere is provided an isolated polypeptide comprising the amino acidsequence selected from the group consisting of SEQ ID NOs: 202-327 and4064-6893.

According to an aspect of some embodiments of the present inventionthere is provided a plant cell exogenously expressing the polynucleotideof some embodiments of the invention, or the nucleic acid construct ofsome embodiments of the invention.

According to an aspect of some embodiments of the present inventionthere is provided a plant cell exogenously expressing the polypeptide ofsome embodiments of the invention.

According to an aspect of some embodiments of the present inventionthere is provided a transgenic plant comprising the nucleic acidconstruct of some embodiments of the invention or the plant cell of someembodiments of the invention.

According to an aspect of some embodiments of the present inventionthere is provided a method of growing a crop, the method comprisingseeding seeds and/or planting plantlets of a plant transformed with theisolated polynucleotide of some embodiments of the invention, or withthe nucleic acid construct of some embodiments of the invention, whereinthe plant is derived from plants selected for at least one traitselected from the group consisting of: increased nitrogen useefficiency, increased abiotic stress tolerance, increased biomass,increased growth rate, increased vigor, increased yield and increasedfiber yield, increased fiber quality, increased fiber length, increasedphotosynthetic capacity, and increased oil content as compared to anon-transformed plant, thereby growing the crop.

According to an aspect of some embodiments of the present inventionthere is provided a method of selecting a transformed plant havingincreased nitrogen use efficiency, yield, growth rate, biomass, vigor,oil content, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared toa wild type plant of the same species which is grown under the samegrowth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotideencoding a polypeptide comprising an amino acid sequence at least 80%homologous to the amino acid sequence selected from the group consistingof SEQ ID NOs: 202-219, 221-292, 295-327 and 4064-4175, 4177-4210,4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493,5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and6792-6893,

(b) selecting from the plants a plant having increased nitrogen useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance,

thereby selecting the plant having increased nitrogen use efficiency,yield, growth rate, biomass, vigor, oil content, seed yield, fiberyield, fiber quality, fiber length, photosynthetic capacity, and/orabiotic stress tolerance as compared to the wild type plant of the samespecies which is grown under the same growth conditions.

According to an aspect of some embodiments of the present inventionthere is provided a method of selecting a transformed plant havingincreased nitrogen use efficiency, yield, growth rate, biomass, vigor,oil content, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared toa wild type plant of the same species which is grown under the samegrowth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotideencoding a polypeptide comprising an amino acid sequence at least 80%identical to the nucleic acid sequence selected from the groupconsisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323,2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and3955-4062,

(b) selecting from the plants a plant having increased nitrogen useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance,

thereby selecting the plant having increased nitrogen use efficiency,yield, growth rate, biomass, vigor, oil content, seed yield, fiberyield, fiber quality, fiber length, photosynthetic capacity, and/orabiotic stress tolerance as compared to the wild type plant of the samespecies which is grown under the same growth conditions.

According to some embodiments of the invention, the nucleic acidsequence encodes an amino acid sequence selected from the groupconsisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the nucleic acidsequence is selected from the group consisting of SEQ ID NOs:1-201 and328-4062.

According to some embodiments of the invention, the polynucleotideconsists of the nucleic acid sequence selected from the group consistingof SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention, the nucleic acidsequence encodes the amino acid sequence selected from the groupconsisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the plant cell formspart of a plant.

According to some embodiments of the invention, the method furthercomprising growing the plant expressing the exogenous polynucleotideunder the abiotic stress.

According to some embodiments of the invention, the abiotic stress isselected from the group consisting of salinity, drought, osmotic stress,water deprivation, flood, etiolation, low temperature, high temperature,heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogendeficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seedyield or oil yield.

According to some embodiments of the invention, the method furthercomprising growing the plant expressing the exogenous polynucleotideunder nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter isheterologous to the isolated polynucleotide and/or to the host cell.

According to some embodiments of the invention, the isolatedpolynucleotide is heterologous to the plant cell.

According to some embodiments of the invention, the non-transformedplant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformedplant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformedplant is grown under identical growth conditions.

According to some embodiments of the invention, the method furthercomprising selecting a plant having an increased nitrogen useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance as compared to the wild type plant ofthe same species which is grown under the same growth conditions.

Unless otherwise defined, all technical and/or scientific terms usedherein have the same meaning as commonly understood by one of ordinaryskill in the art to which the invention pertains. Although methods andmaterials similar or equivalent to those described herein can be used inthe practice or testing of embodiments of the invention, exemplarymethods and/or materials are described below. In case of conflict, thepatent specification, including definitions, will control. In addition,the materials, methods, and examples are illustrative only and are notintended to be necessarily limiting.

BRIEF DESCRIPTION OF THE DRAWINGS

Some embodiments of the invention are herein described, by way ofexample only, with reference to the accompanying drawings. With specificreference now to the drawings in detail, it is stressed that theparticulars shown are by way of example and for purposes of illustrativediscussion of embodiments of the invention. In this regard, thedescription taken with the drawings makes apparent to those skilled inthe art how embodiments of the invention may be practiced.

In the drawings:

FIG. 1 is a schematic illustration of the modified pGI binary plasmidcontaining the new At6669 promoter (SEQ ID NO: 6918) and the GUSintron(pQYN_6669) used for expressing the isolated polynucleotide sequences ofthe invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiplecloning site; RE—any restriction enzyme; NOS pro=nopaline synthasepromoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopalinesynthase terminator; Poly-A signal (polyadenylation signal);GUSintron—the GUS reporter gene (coding sequence and intron). Theisolated polynucleotide sequences of the invention were cloned into thevector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmidcontaining the new At6669 promoter (SEQ ID NO: 6918) (pQFN or pQFNc)used for expressing the isolated polynucleotide sequences of theinvention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiplecloning site; RE—any restriction enzyme; NOS pro=nopaline synthasepromoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopalinesynthase terminator; Poly-A signal (polyadenylation signal); Theisolated polynucleotide sequences of the invention were cloned into theMCS of the vector.

FIGS. 3A-F are images depicting visualization of root development oftransgenic plants exogenously expressing the polynucleotide of someembodiments of the invention when grown in transparent agar plates undernormal (FIGS. 3A-B), osmotic stress (15% PEG; FIGS. 3C-D) ornitrogen-limiting (FIGS. 3E-F) conditions. The different transgenes weregrown in transparent agar plates for 17 days (7 days nursery and 10 daysafter transplanting). The plates were photographed every 3-4 daysstarting at day 1 after transplanting. FIG. 3A—An image of a photographof plants taken following 10 after transplanting days on agar plateswhen grown under normal (standard) conditions. FIG. 3B—An image of rootanalysis of the plants shown in FIG. 3A in which the lengths of theroots measured are represented by arrows. FIG. 3C—An image of aphotograph of plants taken following 10 days after transplanting on agarplates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An imageof root analysis of the plants shown in FIG. 3C in which the lengths ofthe roots measured are represented by arrows. FIG. 3E—An image of aphotograph of plants taken following 10 days after transplanting on agarplates, grown under low nitrogen conditions. FIG. 3F—An image of rootanalysis of the plants shown in FIG. 3E in which the lengths of theroots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmidcontaining the Root Promoter (pQNa_RP; SEQ ID NO: 6927) used forexpressing the isolated polynucleotide sequences of the invention.RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthasepromoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopalinesynthase terminator; Poly-A signal (polyadenylation signal); Theisolated polynucleotide sequences according to some embodiments of theinvention were cloned into the MCS (Multiple cloning site) of thevector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of pQXNc plasmid, which is a modifiedpGI binary plasmid used for expressing the isolated polynucleotidesequences of some embodiments of the invention. RB—T-DNA right border;LB—T-DNA left border; NOS pro=nopaline synthase promoter;NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthaseterminator; RE=any restriction enzyme; Poly-A signal (polyadenylationsignal); 35S—the 35S promoter (pqfnc; SEQ ID NO: 6914). The isolatedpolynucleotide sequences of some embodiments of the invention werecloned into the MCS (Multiple cloning site) of the vector.

FIGS. 9A-B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) andthe pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments.pEBbVNi tDNA (FIG. 9A) was used for expression of the isolatedpolynucleotide sequences of some embodiments of the invention inBrachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation intoBrachypodium as a negative control. “RB”=right border; “2LBregion”=2repeats of left border; “35S”=35S promoter (SEQ ID NO:6930); “NOSter”=nopaline synthase terminator; “Bar ORF”—BAR open reading frame(GenBank Accession No. JQ293091.1; SEQ ID NO:7121); The isolatedpolynucleotide sequences of some embodiments of the invention werecloned into the Multiple cloning site of the vector using one or more ofthe indicated restriction enzyme sites.

DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present invention, in some embodiments thereof, relates to novelpolynucleotides and polypeptides, nucleic acid constructs comprisingsame, host cells (e.g., plant cells) expressing same, transgenic plantsexogenously expressing same and, more particularly, but not exclusively,to methods of using same for increasing nitrogen use efficiency,fertilizer use efficiency, yield, growth rate, vigor, biomass, oilcontent, fiber yield, fiber quality, fiber length, photosyntheticcapacity, abiotic stress tolerance and/or water use efficiency of aplant such as a wheat plant.

Before explaining at least one embodiment of the invention in detail, itis to be understood that the invention is not necessarily limited in itsapplication to the details set forth in the following description orexemplified by the Examples. The invention is capable of otherembodiments or of being practiced or carried out in various ways.

The present inventors have identified novel polypeptides andpolynucleotides which can be used to generate nucleic acid constructs,transgenic plants and to increase nitrogen use efficiency, fertilizeruse efficiency, yield, growth rate, vigor, biomass, oil content, fiberyield, fiber quality, fiber length, abiotic stress tolerance and/orwater use efficiency of a plant, such as a wheat plant.

Thus, as shown in the Examples section which follows, the presentinventors have utilized bioinformatics tools to identify polynucleotideswhich enhance yield (e.g., seed yield, oil yield, oil content), growthrate, biomass, vigor, fiber yield, fiber quality, fiber length,photosynthetic capacity, nitrogen use efficiency, fertilizer useefficiency and/or abiotic stress tolerance of a plant. Genes whichaffect the trait-of-interest were identified (SEQ ID NOs: 202-327 forpolypeptides; and SEQ ID NOs: 1-201 for polynucleotides) based onexpression profiles of genes of several Arabidopsis, Barley, Sorghum,Maize, Brachypodium, Foxtail Millet and Wheat ecotypes and accessions invarious tissues and growth conditions, homology with genes known toaffect the trait-of-interest and using digital expression profile inspecific tissues and conditions (Tables 1 and 3-74, Examples 1 and 3-13of the Examples section which follows). Homologous (e.g., orthologous)polypeptides and polynucleotides having the same function were alsoidentified (SEQ ID NOs: 4064-6893 for polypeptides, and SEQ ID NOs:328-4062 for polynucleotides; Table 2, Example 2 of the Examples sectionwhich follows). The polynucleotides of some embodiments of the inventionwere cloned into binary vectors (Example 14, Table 75), and were furthertransformed into Arabidopsis and Brachypodium plants (Examples 15-17).Transgenic plants over-expressing the identified polynucleotides werefound to exhibit increased biomass, growth rate, yield under normalconditions and under nitrogen limiting conditions, thus demonstratingincreased nitrogen use efficiency of a plant (Tables 76-105; Examples18-22 of the Examples section which follows), and increased tolerance toabiotic stress conditions (e.g., nutrient deficiency) as compared tocontrol plants grown under the same growth conditions. Altogether, theseresults suggest the use of the novel polynucleotides and polypeptides ofthe invention [e.g., SEQ ID NOs: 202-327 and 4064-6893 (polypeptides)and SEQ ID NOs: 1-201 and 328-4062 (polynucleotides)] for increasingnitrogen use efficiency, fertilizer use efficiency, water useefficiency, abiotic stress tolerance, yield (e.g., oil yield, seed yieldand oil content), growth rate, biomass, vigor, fiber yield, fiberquality, fiber length, and/or photosynthetic capacity of a plant.

Thus, according to an aspect of some embodiments of the invention, thereis provided method of increasing fertilizer use efficiency (e.g.,nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of a plant,comprising expressing within the plant an exogenous polynucleotidecomprising a nucleic acid sequence encoding a polypeptide at least about80%, at least about 81%, at least about 82%, at least about 83%, atleast about 84%, at least about 85%, at least about 86%, at least about87%, at least about 88%, at least about 89%, at least about 90%, atleast about 91%, at least about 92%, at least about 93%, at least about94%, at least about 95%, at least about 96%, at least about 97%, atleast about 98%, at least about 99%, or more say 100% homologous to theamino acid sequence selected from the group consisting of SEQ ID NOs:202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603,4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816,5828-6679, 6689-6690, 6708-6785, and 6792-6893, thereby increasing thefertilizer use efficiency (e.g., nitrogen use efficiency), yield, growthrate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., asdetermined by weight or size) or quantity (numbers) of tissues or organsproduced per plant or per growing season. Hence increased yield couldaffect the economic benefit one can obtain from the plant in a certaingrowing area and/or growing time.

It should be noted that a plant yield can be affected by variousparameters including, but not limited to, plant biomass; plant vigor;growth rate; seed yield; seed or grain quantity; seed or grain quality;oil yield; content of oil, starch and/or protein in harvested organs(e.g., seeds or vegetative parts of the plant); number of flowers(florets) per panicle (expressed as a ratio of number of filled seedsover number of primary panicles); harvest index; number of plants grownper area; number and size of harvested organs per plant and per area;number of plants per growing area (density); number of harvested organsin field; total leaf area; carbon assimilation and carbon partitioning(the distribution/allocation of carbon within the plant); resistance toshade; number of harvestable organs (e.g. seeds), seeds per pod, weightper seed; and modified architecture [such as increase stalk diameter,thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight ofthe seeds per plant, seeds per pod, or per growing area or to the weightof a single seed, or to the oil extracted per seed. Hence seed yield canbe affected by seed dimensions (e.g., length, width, perimeter, areaand/or volume), number of (filled) seeds and seed filling rate and byseed oil content. Hence increase seed yield per plant could affect theeconomic benefit one can obtain from the plant in a certain growing areaand/or growing time; and increase seed yield per growing area could beachieved by increasing seed yield per plant, and/or by increasing numberof plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used hereinrefers to a small embryonic plant enclosed in a covering called the seedcoat (usually with some stored food), the product of the ripened ovuleof gymnosperm and angiosperm plants which occurs after fertilization andsome growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipidsin a given plant organ, either the seeds (seed oil content) or thevegetative portion of the plant (vegetative oil content) and istypically expressed as percentage of dry weight (10% humidity of seeds)or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oilproduction of a tissue (e.g., seed, vegetative portion), as well as themass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achievedby increasing the size/mass of a plant's tissue(s) which comprise oilper growth period. Thus, increased oil content of a plant can beachieved by increasing the yield, growth rate, biomass and vigor of theplant.

As used herein the phrase “plant biomass” refers to the amount (e.g.,measured in grams of air-dry tissue) of a tissue produced from the plantin a growing season, which could also determine or affect the plantyield or the yield per growing area. An increase in plant biomass can bein the whole plant or in parts thereof such as aboveground (harvestable)parts, vegetative biomass, roots and seeds.

As used herein the phrase “growth rate” refers to the increase in plantorgan/tissue size per time (can be measured in cm² per day or cm/day).

As used herein the phrase “photosynthetic capacity” (also known as“A_(max)”) is a measure of the maximum rate at which leaves are able tofix carbon during photosynthesis. It is typically measured as the amountof carbon dioxide that is fixed per square meter per second, for exampleas μmol m⁻² sec⁻¹. Plants are able to increase their photosyntheticcapacity by several modes of action, such as by increasing the totalleaves area (e.g., by increase of leaves area, increase in the number ofleaves, and increase in plant's vigor, e.g., the ability of the plant togrow new leaves along time course) as well as by increasing the abilityof the plant to efficiently execute carbon fixation in the leaves.Hence, the increase in total leaves area can be used as a reliablemeasurement parameter for photosynthetic capacity increment.

As used herein the phrase “plant vigor” refers to the amount (measuredby weight) of tissue produced by the plant in a given time. Henceincreased vigor could determine or affect the plant yield or the yieldper growing time or growing area. In addition, early vigor (seed and/orseedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breedingprograms in both temperate and tropical rice cultivars. Long roots areimportant for proper soil anchorage in water-seeded rice. Where rice issown directly into flooded fields, and where plants must emerge rapidlythrough water, longer shoots are associated with vigour. Wheredrill-seeding is practiced, longer mesocotyls and coleoptiles areimportant for good seedling emergence. The ability to engineer earlyvigor into plants would be of great importance in agriculture. Forexample, poor early vigor has been a limitation to the introduction ofmaize (Zea mays L.) hybrids based on Corn Belt germplasm in the EuropeanAtlantic.

It should be noted that a plant yield can be determined under stress(e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress(normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growthconditions (e.g., water, temperature, light-dark cycles, humidity, saltconcentration, fertilizer concentration in soil, nutrient supply such asnitrogen, phosphorous and/or potassium), that do not significantly gobeyond the everyday climatic and other abiotic conditions that plantsmay encounter, and which allow optimal growth, metabolism, reproductionand/or viability of a plant at any stage in its life cycle (e.g., in acrop plant from seed to a mature plant and back to seed again). Personsskilled in the art are aware of normal soil conditions and climaticconditions for a given plant in a given geographic location. It shouldbe noted that while the non-stress conditions may include some mildvariations from the optimal conditions (which vary from one type/speciesof a plant to another), such variations do not cause the plant to ceasegrowing without the capacity to resume growth.

The phrase “abiotic stress” as used herein refers to any adverse effecton metabolism, growth, reproduction and/or viability of a plant.Accordingly, abiotic stress can be induced by suboptimal environmentalgrowth conditions such as, for example, salinity, osmotic stress, waterdeprivation, drought, flooding, freezing, low or high temperature, heavymetal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogendeficiency or limited nitrogen), atmospheric pollution or UVirradiation. The implications of abiotic stress are discussed in theBackground section.

The phrase “abiotic stress tolerance” as used herein refers to theability of a plant to endure an abiotic stress without suffering asubstantial alteration in metabolism, growth, productivity and/orviability.

Plants are subject to a range of environmental challenges. Several ofthese, including salt stress, general osmotic stress, drought stress andfreezing stress, have the ability to impact whole plant and cellularwater availability. Not surprisingly, then, plant responses to thiscollection of stresses are related. Zhu (2002) Ann Rev. Plant Biol. 53:247-273 et al. note that “most studies on water stress signaling havefocused on salt stress primarily because plant responses to salt anddrought are closely related and the mechanisms overlap”. Many examplesof similar responses and pathways to this set of stresses have beendocumented. For example, the CBF transcription factors have been shownto condition resistance to salt, freezing and drought (Kasuga et al.(1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene isinduced in response to both salt and dehydration stress, a process thatis mediated largely through an ABA signal transduction process (Uno etal. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting inaltered activity of transcription factors that bind to an upstreamelement within the rd29B promoter. In Mesembryanthemum crystallinum (iceplant), Patharker and Cushman have shown that a calcium-dependentprotein kinase (McCDPK1) is induced by exposure to both drought and saltstresses (Patharker and Cushman (2000) Plant J. 24: 679-691). Thestress-induced kinase was also shown to phosphorylate a transcriptionfactor, presumably altering its activity, although transcript levels ofthe target transcription factor are not altered in response to salt ordrought stress. Similarly, Saijo et al. demonstrated that a ricesalt/drought-induced calmodulin-dependent protein kinase (OsCDPK7)conferred increased salt and drought tolerance to rice whenoverexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants asdoes freezing stress (see, for example, Yelenosky (1989) Plant Physiol89: 444-451) and drought stress induces freezing tolerance (see, forexample, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy etal. (1992) Planta 188: 265-270). In addition to the induction ofcold-acclimation proteins, strategies that allow plants to survive inlow water conditions may include, for example, reduced surface area, orsurface oil or wax production. In another example increased solutecontent of the plant prevents evaporation and water loss due to heat,drought, salinity, osmoticum, and the like therefore providing a betterplant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to onestress (as described above), will also be involved in resistance toother stresses, regulated by the same or homologous genes. Of course,the overall resistance pathways are related, not identical, andtherefore not all genes controlling resistance to one stress willcontrol resistance to the other stresses. Nonetheless, if a geneconditions resistance to one of these stresses, it would be apparent toone skilled in the art to test for resistance to these related stresses.Methods of assessing stress resistance are further provided in theExamples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to thelevel of organic matter produced per unit of water consumed by theplant, i.e., the dry weight of a plant in relation to the plant's wateruse, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to themetabolic process(es) which lead to an increase in the plant's yield,biomass, vigor, and growth rate per fertilizer unit applied. Themetabolic process can be the uptake, spread, absorbent, accumulation,relocation (within the plant) and use of one or more of the minerals andorganic moieties absorbed by the plant, such as nitrogen, phosphatesand/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers togrowth conditions which include a level (e.g., concentration) of afertilizer applied which is below the level needed for normal plantmetabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to themetabolic process(es) which lead to an increase in the plant's yield,biomass, vigor, and growth rate per nitrogen unit applied. The metabolicprocess can be the uptake, spread, absorbent, accumulation, relocation(within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers togrowth conditions which include a level (e.g., concentration) ofnitrogen (e.g., ammonium or nitrate) applied which is below the levelneeded for normal plant metabolism, growth, reproduction and/orviability.

Improved plant NUE and FUE is translated in the field into eitherharvesting similar quantities of yield, while implementing lessfertilizers, or increased yields gained by implementing the same levelsof fertilizers. Thus, improved NUE or FUE has a direct effect on plantyield in the field. Thus, the polynucleotides and polypeptides of someembodiments of the invention positively affect plant yield, seed yield,and plant biomass. In addition, the benefit of improved plant NUE willcertainly improve crop quality and biochemical constituents of the seedsuch as protein yield and oil yield.

It should be noted that improved ABST will confer plants with improvedvigor also under non-stress conditions, resulting in crops havingimproved biomass and/or yield e.g., elongated fibers for the cottonindustry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cellssuch as vessels and tracheids and to fibrillar aggregates of manyindividual fiber cells. Hence, the term “fiber” refers to (a)thick-walled conducting and non-conducting cells of the xylem; (b)fibers of extraxylary origin, including those from phloem, bark, groundtissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds,and flowers or inflorescences (such as those of Sorghum vulgare used inthe manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to,agricultural crops such as cotton, silk cotton tree (Kapok, Ceibapentandra), desert willow, creosote bush, winterfat, balsa, kenaf,rosette, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok,coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiberparameter which is agriculturally desired, or required in the fiberindustry (further described hereinbelow). Examples of such parameters,include but are not limited to, fiber length, fiber strength, fiberfitness, fiber weight per unit length, maturity ratio and uniformity(further described hereinbelow).

Cotton fiber (lint) quality is typically measured according to fiberlength, strength and fineness. Accordingly, the lint quality isconsidered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantityof fibers produced from the fiber producing plant.

As used herein the term “increasing” refers to at least about 2%, atleast about 3%, at least about 4%, at least about 5%, at least about10%, at least about 15%, at least about 20%, at least about 30%, atleast about 40%, at least about 50%, at least about 60%, at least about70%, at least about 80%, increase in fertilizer use efficiency (e.g.,nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of a plant ascompared to a native plant or a wild type plant [i.e., a plant notmodified with the biomolecules (polynucleotide or polypeptides) of theinvention, e.g., a non-transformed plant of the same species which isgrown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” asused herein refers to upregulating the expression level of an exogenouspolynucleotide within the plant by introducing the exogenouspolynucleotide into a plant cell or plant and expressing by recombinantmeans, as further described herein below.

As used herein “expressing” refers to expression at the mRNA andoptionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to aheterologous nucleic acid sequence which may not be naturally expressedwithin the plant (e.g., a nucleic acid sequence from a differentspecies) or which overexpression in the plant is desired. The exogenouspolynucleotide may be introduced into the plant in a stable or transientmanner, so as to produce a ribonucleic acid (RNA) molecule and/or apolypeptide molecule. It should be noted that the exogenouspolynucleotide may comprise a nucleic acid sequence which is identicalor partially homologous to an endogenous nucleic acid sequence of theplant.

The term “endogenous” as used herein refers to any polynucleotide orpolypeptide which is present and/or naturally expressed within a plantor a cell thereof.

According to some embodiments of the invention, the exogenouspolynucleotide of the invention comprises a nucleic acid sequenceencoding a polypeptide having an amino acid sequence at least about 80%,at least about 81%, at least about 82%, at least about 83%, at leastabout 84%, at least about 85%, at least about 86%, at least about 87%,at least about 88%, at least about 89%, at least about 90%, at leastabout 91%, at least about 92%, at least about 93%, at least about 94%,at least about 95%, at least about 96%, at least about 97%, at leastabout 98%, at least about 99%, or more say 100% homologous to the aminoacid sequence selected from the group consisting of SEQ ID NOs: 202-219,221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749,4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679,6689-6690, 6708-6785, and 6792-6893.

Homologous sequences include both orthologous and paralogous sequences.The term “paralogous” relates to gene-duplications within the genome ofa species leading to paralogous genes. The term “orthologous” relates tohomologous genes in different organisms due to ancestral relationship.Thus, orthologs are evolutionary counterparts derived from a singleancestral gene in the last common ancestor of given two species (KooninE V and Gaiperin M Y (Sequence—Evolution—Function: ComputationalApproaches in Comparative Genomics. Boston: Kluwer Academic; 2003.Chapter 2, Evolutionary Concept in Genetics and Genomics. Availablefrom: ncbi (dot) nlm (dot) nih (dot) gov/books/NBK20255) and thereforehave great likelihood of having the same function.

One option to identify orthologues in monocot plant species is byperforming a reciprocal blast search. This may be done by a first blastinvolving blasting the sequence-of-interest against any sequencedatabase, such as the publicly available NCBI database which may befound at: ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in ricewere sought, the sequence-of-interest would be blasted against, forexample, the 28,469 full-length cDNA clones from Oryza sativa Nipponbareavailable at NCBI. The blast results may be filtered. The full-lengthsequences of either the filtered results or the non-filtered results arethen blasted back (second blast) against the sequences of the organismfrom which the sequence-of-interest is derived. The results of the firstand second blasts are then compared. An orthologue is identified whenthe sequence resulting in the highest score (best hit) in the firstblast identifies in the second blast the query sequence (the originalsequence-of-interest) as the best hit. Using the same rational aparalogue (homolog to a gene in the same organism) is found. In case oflarge sequence families, the ClustalW program may be used [ebi (dot) ac(dot) uk/Tools/clustalw2/index (dot) html], followed by aneighbor-joining tree (wikipedia (dot) org/wiki/Neighbor-joining) whichhelps visualizing the clustering.

Homology (e.g., percent homology, sequence identity+sequence similarity)can be determined using any homology comparison software computing apairwise sequence alignment.

As used herein, “sequence identity” or “identity” in the context of twonucleic acid or polypeptide sequences includes reference to the residuesin the two sequences which are the same when aligned. When percentage ofsequence identity is used in reference to proteins it is recognized thatresidue positions which are not identical often differ by conservativeamino acid substitutions, where amino acid residues are substituted forother amino acid residues with similar chemical properties (e.g. chargeor hydrophobicity) and therefore do not change the functional propertiesof the molecule. Where sequences differ in conservative substitutions,the percent sequence identity may be adjusted upwards to correct for theconservative nature of the substitution. Sequences which differ by suchconservative substitutions are said to have “sequence similarity” or“similarity”. Means for making this adjustment are well-known to thoseof skill in the art. Typically this involves scoring a conservativesubstitution as a partial rather than a full mismatch, therebyincreasing the percentage sequence identity. Thus, for example, where anidentical amino acid is given a score of 1 and a non-conservativesubstitution is given a score of zero, a conservative substitution isgiven a score between zero and 1. The scoring of conservativesubstitutions is calculated, e.g., according to the algorithm ofHenikoff S and Henikoff J G. [Amino acid substitution matrices fromprotein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].

Identity (e.g., percent homology) can be determined using any homologycomparison software, including for example, the BlastN software of theNational Center of Biotechnology Information (NCBI) such as by usingdefault parameters.

According to some embodiments of the invention, the identity is a globalidentity, i.e., an identity over the entire amino acid or nucleic acidsequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “homology” or“homologous” refers to identity of two or more nucleic acid sequences;or identity of two or more amino acid sequences; or the identity of anamino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the homology is a globalhomology, i.e., an homology over the entire amino acid or nucleic acidsequences of the invention and not over portions thereof.

The degree of homology or identity between two or more sequences can bedetermined using various known sequence comparison tools. Following is anon-limiting description of such tools which can be used along with someembodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D.Wunsch, “A general method applicable to the search of similarities inthe amino acid sequence of two proteins” Journal of Molecular Biology,1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing toother polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm(available fromemboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) canbe used to find the optimum alignment (including gaps) of two sequencesalong their entire length—a “Global alignment”. Default parameters forNeedleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10;gapextend=0.5; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used withthe EMBOSS-6.0.1 tool (for protein-protein comparison) include:gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used todetermine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%,94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing topolynucleotide sequences, the OneModel FramePlus algorithm [Halperin,E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA toprotein sequences. Bioinformatics, 15, 867-873) (available frombiocceleration(dot)com/Products(dot)html] can be used with followingdefault parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used withthe OneModel FramePlus algorithm are model=frame+_p2n.model,mode=qglobal.

According to some embodiments of the invention, the threshold used todetermine homology using the OneModel FramePlus algorithm is 80%, 81%,82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%,96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to otherpolynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm(available fromemboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) canbe used with the following default parameters: (EMBOSS-6.0.1)gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used withthe EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10;gapextend=0.2; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used todetermine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm forcomparison of polynucleotides with polynucleotides is 80%, 81%, 82%,83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%,97%, 98%, 99%, or 100%.

According to some embodiment, determination of the degree of homologyfurther requires employing the Smith-Waterman algorithm (forprotein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include:model=sw.model.

According to some embodiments of the invention, the threshold used todetermine homology using the Smith-Waterman algorithm is 80%, 81%, 82%,83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%,97%, 98%, 99%, or 100%.

According to some embodiments of the invention, the global homology isperformed on sequences which are pre-selected by local homology to thepolypeptide or polynucleotide of interest (e.g., 60% identity over 60%of the sequence length), prior to performing the global homology to thepolypeptide or polynucleotide of interest (e.g., 80% global homology onthe entire sequence). For example, homologous sequences are selectedusing the BLAST software with the Blastp and tBlastn algorithms asfilters for the first stage, and the needle (EMBOSS package) or Frame+algorithm alignment for the second stage. Local identity (Blastalignments) is defined with a very permissive cutoff—60% Identity on aspan of 60% of the sequences lengths because it is used only as a filterfor the global alignment stage. In this specific embodiment (when thelocal identity is used), the default filtering of the Blast package isnot utilized (by setting the parameter “−F F”).

In the second stage, homologs are defined based on a global identity ofat least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms forfinding the optimal global alignment for protein or nucleotide sequencesare used:

I. Between Two Proteins (Following the Blastp Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modifiedparameters: gapopen=8 gapextend=2. The rest of the parameters areunchanged from the default options listed here:

Standard (Mandatory) Qualifiers:

[-asequence] sequence Sequence filename and optional format, orreference (input USA)

[-bsequence] seqall Sequence(s) filename and optional format, orreference (input USA)

-gapopen float [10.0 for any sequence]. The gap open penalty is thescore taken away when a gap is created. The best value depends on thechoice of comparison matrix. The default value assumes you are using theEBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix fornucleotide sequences. (Floating point number from 1.0 to 100.0)

-gapextend float [0.5 for any sequence]. The gap extension, penalty isadded to the standard gap penalty for each base or residue in the gap.This is how long gaps are penalized. Usually you will expect a few longgaps rather than many short gaps, so the gap extension penalty should belower than the gap penalty. An exception is where one or both sequencesare single reads with possible sequencing errors in which case you wouldexpect many single base gaps. You can get this result by setting the gapopen penalty to zero (or very low) and using the gap extension penaltyto control gap scoring. (Floating point number from 0.0 to 10.0)

[-outfile] align [*.needle] Output alignment file name

Additional (Optional) Qualifiers:

-datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA]. This is thescoring matrix file used when comparing sequences. By default it is thefile ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleicsequences). These files are found in the ‘data’ directory of the EMBOSSinstallation.

Advanced (Unprompted) Qualifiers:

-   -   -[no] brief boolean [Y] Brief identity and similarity

Associated Qualifiers:

-   -   “-asequence” Associated Qualifiers    -   -sbegin1 integer Start of the sequence to be used    -   -send1 integer End of the sequence to be used    -   -sreverse1 boolean Reverse (if DNA)    -   -sask1 boolean Ask for begin/end/reverse    -   -snucleotide1 boolean Sequence is nucleotide    -   -sprotein1 boolean Sequence is protein    -   -slower1 boolean Make lower case    -   -supper1 boolean Make upper case    -   -sformat1 string Input sequence format    -   -sdbname1 string Database name    -   -sid1 string Entryname    -   -ufo1 string UFO features    -   -fformat1 string Features format    -   -fopenfile1 string Features file name

“-bsequence” Associated Qualifiers

-   -   -sbegin2 integer Start of each sequence to be used    -   -send2 integer End of each sequence to be used    -   -sreverse2 boolean Reverse (if DNA)    -   -sask2 boolean Ask for begin/end/reverse    -   -snucleotide2 boolean Sequence is nucleotide    -   -sprotein2 boolean Sequence is protein    -   -slower2 boolean Make lower case    -   -supper2 boolean Make upper case    -   -sformat2 string Input sequence format    -   -sdbname2 string Database name    -   -sid2 string Entryname    -   -ufo2 string UFO features    -   -fformat2 string Features format    -   -fopenfile2 string Features file name

“-outfile” Associated Qualifiers

-   -   -aformat3 string Alignment format    -   -aextension3 string File name extension    -   -adirectory3 string Output directory    -   -aname3 string Base file name    -   -awidth3 integer Alignment width    -   -aaccshow3 boolean Show accession number in the header    -   -adesshow3 boolean Show description in the header    -   -ausashow3 boolean Show the full USA in the alignment    -   -aglobal3 boolean Show the full sequence in alignment

General Qualifiers:

-   -   -auto boolean Turn off prompts    -   -stdout boolean Write first file to standard output    -   -filter boolean Read first file from standard input, write    -   first file to standard output    -   -options boolean Prompt for standard and additional values    -   -debug boolean Write debug output to program.dbg    -   -verbose boolean Report some/full command line options    -   -help boolean Report command line options. More information on        associated and general qualifiers can be found with -help        -verbose    -   -warning boolean Report warnings    -   -error boolean Report errors    -   -fatal boolean Report fatal errors    -   -die boolean Report dying program messages

2. Between a Protein Sequence and a Nucleotide Sequence (Following thetblastn Filter):

GenCore 6.0 OneModel application utilizing the Frame+ algorithm with thefollowing parameters: model=frame+_p2n.modelmode=qglobal-q=protein.sequence -db=nucleotide.sequence. The rest of theparameters are unchanged from the default options:

Usage:

om -model=<model_fname>[-q=]query [-db=]database[options]-model=<model_fname> Specifies the model that you want to run.All models supplied by Compugen are located in the directory$CGNROOT/models/.

Valid command line parameters:

-dev=<dev_name> Selects the device to be used by the application.

-   -   Valid devices are:    -   bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N        models).    -   xlg—BioXL/G (valid for all models except XSW).    -   xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).    -   xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).    -   soft—Software device (for all models).        -q=<query> Defines the query set. The query can be a sequence        file or a database reference. You can specify a query by its        name or by accession number. The format is detected        automatically. However, you may specify a format using the -qfmt        parameter. If you do not specify a query, the program prompts        for one. If the query set is a database reference, an output        file is produced for each sequence in the query.        -db=<database name> Chooses the database set. The database set        can be a sequence file or a database reference. The database        format is detected automatically. However, you may specify a        format using -dfmt parameter.        -qacc Add this parameter to the command line if you specify        query using accession numbers.        -dacc Add this parameter to the command line if you specify a        database using accession numbers.        -dfmt/-qfmt=<format_type> Chooses the database/query format        type. Possible formats are:    -   fasta—fasta with seq type auto-detected.    -   fastap—fasta protein seq.    -   fastan—fasta nucleic seq.    -   gcg—gcg format, type is auto-detected.    -   gcg9seq—gcg9 format, type is auto-detected.    -   gcg9seqp—gcg9 format protein seq.    -   gcg9seqn—gcg9 format nucleic seq.    -   nbrf—nbrf seq, type is auto-detected.    -   nbrfp—nbrf protein seq.    -   nbrfn—nbrf nucleic seq.    -   embl—embl and swissprot format.    -   genbank—genbank format (nucleic).    -   blast—blast format.    -   nbrf_gcg—nbrf-gcg seq, type is auto-detected.    -   nbrf_gcgp—nbrf-gcg protein seq.    -   nbrf_gcgn—nbrf-gcg nucleic seq.    -   raw—raw ascii sequence, type is auto-detected.    -   rawp—raw ascii protein sequence.    -   rawn—raw ascii nucleic sequence.    -   pir—pir codata format, type is auto-detected.    -   profile—gcg profile (valid only for -qfmt in SW, XSW, FRAME_P2N,        and FRAME+_P2N).        -out=<out_fname> The name of the output file.        -suffix=<name> The output file name suffix.        -gapop=<n> Gap open penalty. This parameter is not valid for        FRAME+. For FrameSearch the default is 12.0. For other searches        the default is 10.0.        -gapext=<n> Gap extend penalty. This parameter is not valid for        FRAME+. For FrameSearch the default is 4.0. For other models:        the default for protein searches is 0.05, and the default for        nucleic searches is 1.0.        -qgapop=<n> The penalty for opening a gap in the query sequence.        The default is 10.0. Valid for XSW.        -qgapext=<n> The penalty for extending a gap in the query        sequence. The default is 0.05. Valid for XSW.        -start=<n> The position in the query sequence to begin the        search.        -end=<n> The position in the query sequence to stop the search.        -qtrans Performs a translated search, relevant for a nucleic        query against a protein database. The nucleic query is        translated to six reading frames and a result is given for each        frame.

Valid for SW and XSW.

-dtrans Performs a translated search, relevant for a protein queryagainst a DNA database. Each database entry is translated to six readingframes and a result is given for each frame.

Valid for SW and XSW.

Note: “-qtrans” and “-dtrans” options are mutually exclusive.

-matrix=<matrix_file> Specifies the comparison matrix to be used in thesearch. The matrix must be in the BLAST format. If the matrix file isnot located in $CGNROOT/tables/matrix, specify the full path as thevalue of the -matrix parameter.

-trans=<transtab_name> Translation table. The default location for thetable is $CGNROOT/tables/trans.

-onestrand Restricts the search to just the top strand of thequery/database nucleic sequence.

-list=<n> The maximum size of the output hit list. The default is 50.

-docalign=<n> The number of documentation lines preceding eachalignment. The default is 10.

-thr_score=<score_name> The score that places limits on the display ofresults. Scores that are smaller than -thr_min value or larger than-thr_max value are not shown. Valid options are: quality.

-   -   zscore.    -   escore.        -thr_max=<n> The score upper threshold. Results that are larger        than -thr_max value are not shown.        -thr_min=<n> The score lower threshold. Results that are lower        than -thr_min value are not shown.        -align=<n> The number of alignments reported in the output file.        -noalign Do not display alignment.        Note: “-align” and “-noalign” parameters are mutually exclusive.        -outfmt=<format_name> Specifies the output format type. The        default format is PFS.        Possible values are:    -   PFS—PFS text format    -   FASTA—FASTA text format    -   BLAST—BLAST text format        -nonorm Do not perform score normalization.        -norm=<norm_name> Specifies the normalization method. Valid        options are:    -   log—logarithm normalization.    -   std—standard normalization.    -   stat—Pearson statistical method.        Note: “-nonorm” and “-norm” parameters cannot be used together.        Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop,        -ygapext, -delop, and -delext apply only to FRAME+.        -xgapop=<n> The penalty for opening a gap when inserting a codon        (triplet). The default is 12.0.        -xgapext=<n> The penalty for extending a gap when inserting a        codon (triplet). The default is 4.0.        -ygapop=<n> The penalty for opening a gap when deleting an amino        acid. The default is 12.0.        -ygapext=<n> The penalty for extending a gap when deleting an        amino acid. The default is 4.0.        -fgapop=<n> The penalty for opening a gap when inserting a DNA        base. The default is 6.0.        -fgapext=<n> The penalty for extending a gap when inserting a        DNA base. The default is 7.0.        -delop=<n> The penalty for opening a gap when deleting a DNA        base. The default is 6.0.

-delext=<n> The penalty for extending a gap when deleting a DNA base.The default is 7.0.

-silent No screen output is produced.

-host=<host_name> The name of the host on which the server runs. Bydefault, the application uses the host specified in the file$CGNROOT/cgnhosts.

-wait Do not go to the background when the device is busy. This optionis not relevant for the Parseq or Soft pseudo device.

-batch Run the job in the background. When this option is specified, thefile “$CGNROOT/defaults/batch.defaults” is used for choosing the batchcommand. If this file does not exist, the command “at now” is used torun the job.

Note:“-batch” and “-wait” parameters are mutually exclusive.

-version Prints the software version number.

-help Displays this help message. To get more specific help type:

-   -   “om -model=<model_fname>-help”.

According to some embodiments the homology is a local homology or alocal identity.

Local alignments tools include, but are not limited to the BlastP,BlastN, BlastX or TBLASTN software of the National Center ofBiotechnology Information (NCBI), FASTA, and the Smith-Watermanalgorithm.

A tblastn search allows the comparison between a protein sequence to thesix-frame translations of a nucleotide database. It can be a veryproductive way of finding homologous protein coding regions inunannotated nucleotide sequences such as expressed sequence tags (ESTs)and draft genome records (HTG), located in the BLAST databases est andhtgs, respectively.

Default parameters for blastp include: Max target sequences: 100;Expected threshold: e⁻⁵; Word size: 3; Max matches in a query range: 0;Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—lowcomplexity regions.

Local alignments tools, which can be used include, but are not limitedto, the tBLASTX algorithm, which compares the six-frame conceptualtranslation products of a nucleotide query sequence (both strands)against a protein sequence database. Default parameters include: Maxtarget sequences: 100; Expected threshold: 10; Word size: 3; Max matchesin a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters andmasking: Filter—low complexity regions.

According to some embodiments of the invention, the exogenouspolynucleotide of the invention encodes a polypeptide having an aminoacid sequence at least about 80%, at least about 81%, at least about82%, at least about 83%, at least about 84%, at least about 85%, atleast about 86%, at least about 87%, at least about 88%, at least about89%, at least about 90%, at least about 91%, at least about 92%, atleast about 93%, at least about 94%, at least about 95%, at least about96%, at least about 97%, at least about 98%, at least about 99%, or moresay 100% identical to the amino acid sequence selected from the groupconsisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175,4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223,5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785,and 6792-6893.

According to some embodiments of the invention, the exogenouspolynucleotide of the invention encodes a polypeptide having the aminoacid sequence selected from the group consisting of SEQ ID NOs: 202-327and 4064-6893.

According to some embodiments of the invention, the method of increasingfertilizer use efficiency (e.g., nitrogen use efficiency), yield, growthrate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant, is effected by expressing within the plant anexogenous polynucleotide comprising a nucleic acid sequence encoding apolypeptide at least at least about 80%, at least about 81%, at leastabout 82%, at least about 83%, at least about 84%, at least about 85%,at least about 86%, at least about 87%, at least about 88%, at leastabout 89%, at least about 90%, at least about 91%, at least about 92%,at least about 93%, at least about 94%, at least about 95%, at leastabout 96%, at least about 97%, at least about 98%, at least about 99%,or more say 100% identical to the amino acid sequence selected from thegroup consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175,4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223,5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785,and 6792-6893, thereby increasing the fertilizer use efficiency (e.g.,nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenouspolynucleotide encodes a polypeptide consisting of the amino acidsequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.

According to an aspect of some embodiments of the invention, the methodof increasing fertilizer use efficiency (e.g., nitrogen use efficiency),yield, growth rate, biomass, vigor, oil content, seed yield, fiberyield, fiber quality, fiber length, photosynthetic capacity, and/orabiotic stress tolerance of a plant, is effected by expressing withinthe plant an exogenous polynucleotide comprising a nucleic acid sequenceencoding a polypeptide comprising an amino acid sequence selected fromthe group consisting of SEQ ID NOs: 202-327 and 4064-6893, therebyincreasing the fertilizer use efficiency (e.g., nitrogen useefficiency), yield, growth rate, biomass, vigor, oil content, seedyield, fiber yield, fiber quality, fiber length, photosyntheticcapacity, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the invention, there isprovided a method of increasing fertilizer use efficiency (e.g.,nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of a plant,comprising expressing within the plant an exogenous polynucleotidecomprising a nucleic acid sequence encoding a polypeptide selected fromthe group consisting of SEQ ID NOs: 202-327 and 4064-6893, therebyincreasing the fertilizer use efficiency (e.g., nitrogen useefficiency), yield, growth rate, biomass, vigor, oil content, seedyield, fiber yield, fiber quality, fiber length, photosyntheticcapacity, and/or abiotic stress tolerance of the plant.

According to some embodiments of the invention, the exogenouspolynucleotide encodes a polypeptide consisting of the amino acidsequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.

According to some embodiments of the invention the exogenouspolynucleotide comprises a nucleic acid sequence which is at least about80%, at least about 81%, at least about 82%, at least about 83%, atleast about 84%, at least about 85%, at least about 86%, at least about87%, at least about 88%, at least about 89%, at least about 90%, atleast about 91%, at least about 92%, at least about 93%, at least about93%, at least about 94%, at least about 95%, at least about 96%, atleast about 97%, at least about 98%, at least about 99%, e.g., 100%identical to the nucleic acid sequence selected from the groupconsisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323,2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and3955-4062.

According to an aspect of some embodiments of the invention, there isprovided a method of increasing fertilizer use efficiency (e.g.,nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of a plant,comprising expressing within the plant an exogenous polynucleotidecomprising a nucleic acid sequence at least about 80%, at least about81%, at least about 82%, at least about 83%, at least about 84%, atleast about 85%, at least about 86%, at least about 87%, at least about88%, at least about 89%, at least about 90%, at least about 91%, atleast about 92%, at least about 93%, at least about 93%, at least about94%, at least about 95%, at least about 96%, at least about 97%, atleast about 98%, at least about 99%, e.g., 100% identical to the nucleicacid sequence selected from the group consisting of SEQ ID NOs: 1-91,94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843,3848, 3850-3852, 3854, 3856-3953, and 3955-4062, thereby increasing thefertilizer use efficiency (e.g., nitrogen use efficiency), yield, growthrate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of the plant.

According to some embodiments of the invention the exogenouspolynucleotide is at least about 80%, at least about 81%, at least about82%, at least about 83%, at least about 84%, at least about 85%, atleast about 86%, at least about 87%, at least about 88%, at least about89%, at least about 90%, at least about 91%, at least about 92%, atleast about 93%, at least about 93%, at least about 94%, at least about95%, at least about 96%, at least about 97%, at least about 98%, atleast about 99%, e.g., 100% identical to the polynucleotide selectedfrom the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317,2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854,3856-3953, and 3955-4062.

According to some embodiments of the invention the exogenouspolynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.

According to some embodiments of the invention the exogenouspolynucleotide is set forth by the nucleic acid sequence selected fromthe group consisting of SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention the method of increasingfertilizer use efficiency (e.g., nitrogen use efficiency), yield, growthrate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance of a plant further comprising selecting a plant having anincreased nitrogen use efficiency, yield, growth rate, biomass, vigor,oil content, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared tothe wild type plant of the same species which is grown under the samegrowth conditions.

It should be noted that selecting a transformed plant having anincreased trait as compared to a native (or non-transformed) plant grownunder the same growth conditions is performed by selecting for thetrait, e.g., validating the ability of the transformed plant to exhibitthe increased trait using well known assays (e.g., seedling analyses,greenhouse assays) as is further described herein below.

According to an aspect of some embodiments of the invention, there isprovided a method of selecting a transformed plant having increasednitrogen use efficiency, yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared toa wild type plant of the same species which is grown under the samegrowth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotideencoding a polypeptide comprising an amino acid sequence at least about80%, at least about 81%, at least about 82%, at least about 83%, atleast about 84%, at least about 85%, at least about 86%, at least about87%, at least about 88%, at least about 89%, at least about 90%, atleast about 91%, at least about 92%, at least about 93%, at least about93%, at least about 94%, at least about 95%, at least about 96%, atleast about 97%, at least about 98%, at least about 99%, e.g., 100%homologous (e.g., having sequence similarity or sequence identity) tothe amino acid sequence selected from the group consisting of SEQ IDNOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580,4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812,5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893,

(b) selecting from the plants a plant having increased fertilizer useefficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass,vigor, oil content, seed yield, fiber yield, fiber quality, fiberlength, photosynthetic capacity, and/or abiotic stress tolerance,

thereby selecting the plant having increased fertilizer use efficiency(e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared tothe wild type plant of the same species which is grown under the samegrowth conditions.

According to some embodiments of the invention the amino acid sequenceis selected from the group consisting of SEQ ID NOs: 202-327 and4064-6893.

According to an aspect of some embodiments of the invention, there isprovided a method of selecting a transformed plant having increasedfertilizer use efficiency (e.g., nitrogen use efficiency), yield, growthrate, biomass, vigor, oil content, seed yield, fiber yield, fiberquality, fiber length, photosynthetic capacity, and/or abiotic stresstolerance as compared to a wild type plant of the same species which isgrown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotideencoding a polypeptide comprising an amino acid sequence at least about80%, at least about 81%, at least about 82%, at least about 83%, atleast about 84%, at least about 85%, at least about 86%, at least about87%, at least about 88%, at least about 89%, at least about 90%, atleast about 91%, at least about 92%, at least about 93%, at least about93%, at least about 94%, at least about 95%, at least about 96%, atleast about 97%, at least about 98%, at least about 99%, e.g., 100%identical to the nucleic acid sequence selected from the groupconsisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323,2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and3955-4062,

(b) selecting from the plants a plant having increased fertilizer useefficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass,vigor, oil content, seed yield, fiber yield, fiber quality, fiberlength, photosynthetic capacity, and/or abiotic stress tolerance (e.g.,by selecting the plants for the increased trait),

thereby selecting the plant having increased fertilizer use efficiency(e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance as compared tothe wild type plant of the same species which is grown under the samegrowth conditions.

As used herein the term “polynucleotide” refers to a single or doublestranded nucleic acid sequence which is isolated and provided in theform of an RNA sequence, a complementary polynucleotide sequence (cDNA),a genomic polynucleotide sequence and/or a composite polynucleotidesequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from thenatural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refersto a sequence, which results from reverse transcription of messenger RNAusing a reverse transcriptase or any other RNA dependent DNA polymerase.Such a sequence can be subsequently amplified in vivo or in vitro usinga DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to asequence derived (isolated) from a chromosome and thus it represents acontiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers toa sequence, which is at least partially complementary and at leastpartially genomic. A composite sequence can include some exonalsequences required to encode the polypeptide of the present invention,as well as some intronic sequences interposing therebetween. Theintronic sequences can be of any source, including of other genes, andtypically will include conserved splicing signal sequences. Suchintronic sequences may further include cis acting expression regulatoryelements.

Nucleic acid sequences encoding the polypeptides of the presentinvention may be optimized for expression. Examples of such sequencemodifications include, but are not limited to, an altered G/C content tomore closely approach that typically found in the plant species ofinterest, and the removal of codons atypically found in the plantspecies commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriateDNA nucleotides for use within a structural gene or fragment thereofthat approaches codon usage within the plant of interest. Therefore, anoptimized gene or nucleic acid sequence refers to a gene in which thenucleotide sequence of a native or naturally occurring gene has beenmodified in order to utilize statistically-preferred orstatistically-favored codons within the plant. The nucleotide sequencetypically is examined at the DNA level and the coding region optimizedfor expression in the plant species determined using any suitableprocedure, for example as described in Sardana et al. (1996, Plant CellReports 15:677-681). In this method, the standard deviation of codonusage, a measure of codon usage bias, may be calculated by first findingthe squared proportional deviation of usage of each codon of the nativegene relative to that of highly expressed plant genes, followed by acalculation of the average squared deviation. The formula used is: 1SDCU=n=1 N [(Xn−Yn)/Yn]2/N, where Xn refers to the frequency of usage ofcodon n in highly expressed plant genes, where Yn to the frequency ofusage of codon n in the gene of interest and N refers to the totalnumber of codons in the gene of interest. A Table of codon usage fromhighly expressed genes of dicotyledonous plants is compiled using thedata of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance withthe preferred codon usage for a particular plant cell type is based onthe direct use, without performing any extra statistical calculations,of codon optimization Tables such as those provided on-line at the CodonUsage Database through the NIAS (National Institute of AgrobiologicalSciences) DNA bank in Japan (kazusa (dot) or (dot) jp/codon/). The CodonUsage Database contains codon usage tables for a number of differentspecies, with each codon usage Table having been statisticallydetermined based on the data present in Genbank.

By using the above Tables to determine the most preferred or mostfavored codons for each amino acid in a particular species (for example,rice), a naturally-occurring nucleotide sequence encoding a protein ofinterest can be codon optimized for that particular plant species. Thisis effected by replacing codons that may have a low statisticalincidence in the particular species genome with corresponding codons, inregard to an amino acid, that are statistically more favored. However,one or more less-favored codons may be selected to delete existingrestriction sites, to create new ones at potentially useful junctions(5′ and 3′ ends to add signal peptide or termination cassettes, internalsites that might be used to cut and splice segments together to producea correct full-length sequence), or to eliminate nucleotide sequencesthat may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, inadvance of any modification, contain a number of codons that correspondto a statistically-favored codon in a particular plant species.Therefore, codon optimization of the native nucleotide sequence maycomprise determining which codons, within the native nucleotidesequence, are not statistically-favored with regards to a particularplant, and modifying these codons in accordance with a codon usage tableof the particular plant to produce a codon optimized derivative. Amodified nucleotide sequence may be fully or partially optimized forplant codon usage provided that the protein encoded by the modifiednucleotide sequence is produced at a level higher than the proteinencoded by the corresponding naturally occurring or native gene.Construction of synthetic genes by altering the codon usage is describedin for example PCT Patent Application 93/07278.

According to some embodiments of the invention, the exogenouspolynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA” refers to an RNA moleculewhich does not encode an amino acid sequence (a polypeptide). Examplesof such non-coding RNA molecules include, but are not limited to, anantisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor ofa Piwi-interacting RNA (piRNA).

Non-limiting examples of non-coding RNA polynucleotides are provided inSEQ ID NOs: 1929, 2601, 2900, 3004, 3937, and 4002.

Thus, the invention encompasses nucleic acid sequences describedhereinabove; fragments thereof, sequences hybridizable therewith,sequences homologous thereto, sequences encoding similar polypeptideswith different codon usage, altered sequences characterized bymutations, such as deletion, insertion or substitution of one or morenucleotides, either naturally occurring or man induced, either randomlyor in a targeted fashion.

According to some embodiments of the invention, the exogenouspolynucleotide encodes a polypeptide comprising an amino acid sequenceat least 80%, at least about 81%, at least about 82%, at least about83%, at least about 84%, at least about 85%, at least about 86%, atleast about 87%, at least about 88%, at least about 89%, at least about90%, at least about 91%, at least about 92%, at least about 93%, atleast about 93%, at least about 94%, at least about 95%, at least about96%, at least about 97%, at least about 98%, at least about 99%, e.g.,100% identical to the amino acid sequence of a naturally occurring plantorthologue of the polypeptide selected from the group consisting of SEQID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the polypeptidecomprising an amino acid sequence at least 80%, at least about 81%, atleast about 82%, at least about 83%, at least about 84%, at least about85%, at least about 86%, at least about 87%, at least about 88%, atleast about 89%, at least about 90%, at least about 91%, at least about92%, at least about 93%, at least about 93%, at least about 94%, atleast about 95%, at least about 96%, at least about 97%, at least about98%, at least about 99%, e.g., 100% identical to the amino acid sequenceof a naturally occurring plant orthologue of the polypeptide selectedfrom the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

The invention provides an isolated polynucleotide comprising a nucleicacid sequence at least about 80%, at least about 81%, at least about82%, at least about 83%, at least about 84%, at least about 85%, atleast about 86%, at least about 87%, at least about 88%, at least about89%, at least about 90%, at least about 91%, at least about 92%, atleast about 93%, at least about 93%, at least about 94%, at least about95%, at least about 96%, at least about 97%, at least about 98%, atleast about 99%, e.g., 100% identical to the polynucleotide selectedfrom the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317,2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854,3856-3953, and 3955-4062.

According to some embodiments of the invention the nucleic acid sequenceis capable of increasing fertilizer use efficiency (e.g., nitrogen useefficiency), yield, growth rate, biomass, vigor, oil content, seedyield, fiber yield, fiber quality, fiber length, photosyntheticcapacity, abiotic stress tolerance and/or water use efficiency of aplant.

According to some embodiments of the invention the isolatedpolynucleotide comprising the nucleic acid sequence selected from thegroup consisting of SEQ ID NOs: 1-201 and 328-4062.

According to some embodiments of the invention the isolatedpolynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.

The invention provides an isolated polynucleotide comprising a nucleicacid sequence encoding a polypeptide which comprises an amino acidsequence at least about 80%, at least about 81%, at least about 82%, atleast about 83%, at least about 84%, at least about 85%, at least about86%, at least about 87%, at least about 88%, at least about 89%, atleast about 90%, at least about 91%, at least about 92%, at least about93%, at least about 93%, at least about 94%, at least about 95%, atleast about 96%, at least about 97%, at least about 98%, at least about99%, or more say 100% homologous to the amino acid sequence selectedfrom the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327,4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778,4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690,6708-6785, and 6792-6893.

According to some embodiments of the invention the amino acid sequenceis capable of increasing nitrogen use efficiency, fertilizer useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance of a plant.

The invention provides an isolated polynucleotide comprising a nucleicacid sequence encoding a polypeptide which comprises the amino acidsequence selected from the group consisting of SEQ ID NOs: 202-327 and4064-6893.

According to an aspect of some embodiments of the invention, there isprovided a nucleic acid construct comprising the isolated polynucleotideof the invention, and a promoter for directing transcription of thenucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acidsequence at least about 80%, at least about 81%, at least about 82%, atleast about 83%, at least about 84%, at least about 85%, at least about86%, at least about 87%, at least about 88%, at least about 89%, atleast about 90%, at least about 91%, at least about 92%, at least about93%, at least about 93%, at least about 94%, at least about 95%, atleast about 96%, at least about 97%, at least about 98%, at least about99%, or more say 100% homologous to an amino acid sequence selected fromthe group consisting of SEQ ID NOs: 202-219, 221-292, 295-327,4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778,4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690,6708-6785, and 6792-6893.

According to some embodiments of the invention, the polypeptidecomprising an amino acid sequence selected from the group consisting ofSEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the polypeptide is setforth by SEQ ID NO: 202-327, 4064-6892 or 6893.

The invention also encompasses fragments of the above describedpolypeptides and polypeptides having mutations, such as deletions,insertions or substitutions of one or more amino acids, either naturallyoccurring or man induced, either randomly or in a targeted fashion.

The term “plant” as used herein encompasses a whole plant, a graftedplant, ancestor(s) and progeny of the plants and plant parts, includingseeds, shoots, stems, roots (including tubers), rootstock, scion, andplant cells, tissues and organs. The plant may be in any form includingsuspension cultures, embryos, meristematic regions, callus tissue,leaves, gametophytes, sporophytes, pollen, and microspores. Plants thatare particularly useful in the methods of the invention include allplants which belong to the superfamily Viridiplantae, in particularmonocotyledonous and dicotyledonous plants including a fodder or foragelegume, ornamental plant, food crop, tree, or shrub selected from thelist comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp.,Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp.,Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaeaplurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkeaafricana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camelliasinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens,Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermummopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumisspp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeriajaponica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergiamonetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa,Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum,Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestisspp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulaliavi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingiaspp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycinejavanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtiacoleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus,Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffheliadissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia,Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex,Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihotesculenta, Medicago saliva, Metasequoia glyptostroboides, Musasapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryzaspp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petuniaspp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photiniaspp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara,Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopiscineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis,Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhusnatalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosaspp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitysvefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghumbicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides,Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themedatriandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vacciniumspp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschiaaethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brusselssprouts, cabbage, canola, carrot, cauliflower, celery, collard greens,flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean,straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize,wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton,rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, atree, an ornamental plant, a perennial grass and a forage crop.Alternatively algae and other non-Viridiplantae can be used for themethods of the present invention.

According to some embodiments of the invention, the plant used by themethod of the invention is a crop plant such as rice, maize, wheat,barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean,sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea),flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is adicotyledonous plant.

According to some embodiments of the invention the plant is amonocotyledonous plant.

According to some embodiments of the invention, there is provided aplant cell exogenously expressing the polynucleotide of some embodimentsof the invention, the nucleic acid construct of some embodiments of theinvention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenouspolynucleotide of the invention within the plant is effected bytransforming one or more cells of the plant with the exogenouspolynucleotide, followed by generating a mature plant from thetransformed cells and cultivating the mature plant under conditionssuitable for expressing the exogenous polynucleotide within the matureplant.

According to some embodiments of the invention, the transformation iseffected by introducing to the plant cell a nucleic acid construct whichincludes the exogenous polynucleotide of some embodiments of theinvention and at least one promoter for directing transcription of theexogenous polynucleotide in a host cell (a plant cell). Further detailsof suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodimentsof the invention comprises a promoter sequence and the isolatedpolynucleotide of some embodiments of the invention.

According to some embodiments of the invention, the isolatedpolynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatorysequence (e.g., promoter) if the regulatory sequence is capable ofexerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which liesupstream of the transcriptional initiation site of a gene to which RNApolymerase binds to initiate transcription of RNA. The promoter controlswhere (e.g., which portion of a plant) and/or when (e.g., at which stageor condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter isheterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoterfrom a different species or from the same species but from a differentgene locus as of the isolated polynucleotide sequence.

Any suitable promoter sequence can be used by the nucleic acid constructof the present invention. Preferably the promoter is a constitutivepromoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plantpromoter, which is suitable for expression of the exogenouspolynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limitedto, Wheat SPA promoter (SEQ ID NO: 6894; Albanietal, Plant Cell, 9:171-184, 1997, which is fully incorporated herein by reference), wheatLMW (SEQ ID NO: 6895 (longer LMW promoter), and SEQ ID NO: 6896 (LMWpromoter) and HMW glutenin-1 (SEQ ID NO: 6897 (Wheat HMW glutenin-1longer promoter); and SEQ ID NO: 6898 (Wheat HMW glutenin-1 Promoter);Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009Plant Biotechnology Journal 7:240-253, each of which is fullyincorporated herein by reference), wheat alpha, beta and gamma gliadins[e.g., SEQ ID NO: 6899 (wheat alpha gliadin, B genome, promoter); SEQ IDNO: 6900 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which isfully incorporated herein by reference], wheat TdPR60 [SEQ ID NO:6901(wheat TdPR60 longer promoter) or SEQ ID NO:6902 (wheat TdPR60promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which isfully incorporated herein by reference], maize Ubl Promoter [cultivarNongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1; Taylor et al., PlantCell Rep 1993 12: 491-495, which is fully incorporated herein byreference; and cultivar B73 (SEQ ID NO:6904); Christensen, A H, et al.Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporatedherein by reference]; rice actin 1 (SEQ ID NO:6905; Mc Elroy et al.1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporatedherein by reference), rice GOS2 [SEQ ID NO: 6906 (rice GOS2 longerpromoter) and SEQ ID NO: 6907 (rice GOS2 Promoter); De Pater et al.Plant J. 1992; 2: 837-44, which is fully incorporated herein byreference], arabidopsis Phol [SEQ ID NO: 6908 (arabidopsis PholPromoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which isfully incorporated herein by reference], ExpansinB promoters, e.g., riceExpB5 [SEQ ID NO:6909 (rice ExpB5 longer promoter) and SEQ ID NO: 6910(rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 6911 (barley ExpB1Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fullyincorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQID NO: 6912), Guerin and Carbonero, Plant Physiology May 1997 vol. 114no. 1 55-62, which is fully incorporated herein by reference], and ricePG5a [SEQ ID NO:6913, U.S. Pat. No. 7,700,835, Nakase et al., Plant MolBiol. 32:621-30, 1996, each of which is fully incorporated herein byreference].

Suitable constitutive promoters include, for example, CaMV 35S promoter[SEQ ID NO: 6914 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 6915 (PJJ 35Sfrom Brachypodium); SEQ ID NO: 6916 (CaMV 35S (OLD) Promoter) (Odell etal., Nature 313:810-812, 1985); 35S (pEBbVNi Promoter; SEQ ID NO:6930)], Arabidopsis At6669 promoter (SEQ ID NO: 6917 (Arabidopsis At6669(OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669promoter (SEQ ID NO: 6918 (Arabidopsis At6669 (NEW) Promoter)); maizeUbl Promoter [cultivar Nongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1;Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fullyincorporated herein by reference; and cultivar B73 (SEQ ID NO:6904);Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), whichis fully incorporated herein by reference]; rice actin 1 (SEQ ID NO:6905, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al.,Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al.,Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 6906 (rice GOS2longer Promoter) and SEQ ID NO: 6907 (rice GOS2 Promoter), de Pater etal, Plant J November; 2(6):837-44, 1992]; RBCS promoter (SEQ IDNO:6919); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43,1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285,1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and SyntheticSuper MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Otherconstitutive promoters include those in U.S. Pat. Nos. 5,659,026,5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680;5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to,leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression,SEQ ID NO: 6920), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 6921)described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184,or the promoters described in Yamamoto et al., Plant J. 12:255-265,1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al.,Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18,1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuokaet al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well asArabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell andEnvironment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin(originated from Brassica napus which is characterized by a seedspecific promoter activity; Stuitje A. R. et. al. Plant BiotechnologyJournal 1 (4): 301-309; SEQ ID NO: 6922 (Brassica napus NAPIN Promoter)from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985;Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al.,Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 6913; U.S. Pat.No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQID NO: 6923, US 2009/0031450 A1), late seed development Arabidopsis ABI3(AT3G24650) (SEQ ID NO: 6924 (Arabidopsis ABI3 (AT3G24650) longerPromoter) or 6925 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al.,Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson′et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al.Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al.,Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221:43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143).323-32 1990), napA(Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO:6894;Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins,et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specificpromoters [e.g., wheat LMW (SEQ ID NO: 6895 (Wheat LMW Longer Promoter),and SEQ ID NO: 6896 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO:6897 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 6898 (WheatHMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheatalpha, beta and gamma gliadins (SEQ ID NO: 6899 (wheat alpha gliadin (Bgenome) promoter); SEQ ID NO: 6900 (wheat gamma gliadin promoter); EMBO3:1409-15, 1984), Barley ltrl promoter, barley B1, C, D hordein (TheorAppl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet250:750-60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1):53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 6912 (BarleySS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62,1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009),barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, RobertJ. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter(Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolaminNRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8)885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol.Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68,1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgumgamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g.,rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX(Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin(Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters[e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol.Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245;1989), Arabidopsis apetala-3 (Tilly et al., Development. 125:1647-57,1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 6926(Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQID NO: 6927]; rice ExpB5 (SEQ ID NO: 6910 (rice ExpB5 Promoter); or SEQID NO: 6909 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters(SEQ ID NO:6911) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsisATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 6928; Chen et al., Plant Phys135:1956-66, 2004); arabidopsis Phol promoter (SEQ ID NO: 6908,Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightlyinduced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to,salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al.,Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such asmaize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266,1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295,1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol.39:373-380, 1999); heat-inducible promoters such as heat tomatohsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention canfurther include an appropriate selectable marker and/or an origin ofreplication. According to some embodiments of the invention, the nucleicacid construct utilized is a shuttle vector, which can propagate both inE. coli (wherein the construct comprises an appropriate selectablemarker and origin of replication) and be compatible with propagation incells. The construct according to the present invention can be, forexample, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus oran artificial chromosome.

The nucleic acid construct of some embodiments of the invention can beutilized to stably or transiently transform plant cells. In stabletransformation, the exogenous polynucleotide is integrated into theplant genome and as such it represents a stable and inherited trait. Intransient transformation, the exogenous polynucleotide is expressed bythe cell transformed but it is not integrated into the genome and assuch it represents a transient trait.

There are various methods of introducing foreign genes into bothmonocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev.Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al.,Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNAinto plant genomic DNA include two main approaches:

(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev.Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and SomaticCell Genetics of Plants, Vol. 6, Molecular Biology of Plant NuclearGenes, eds. Schell, J., and Vasil, L. K., Academic Publishers, SanDiego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds.Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass.(1989) p. 93-112.

(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and SomaticCell Genetics of Plants, Vol. 6, Molecular Biology of Plant NuclearGenes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego,Calif. (1989) p. 52-68; including methods for direct uptake of DNA intoprotoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNAuptake induced by brief electric shock of plant cells: Zhang et al.Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986)319:791-793. DNA injection into plant cells or tissues by particlebombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al.Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990)79:206-209; by the use of micropipette systems: Neuhaus et al., Theor.Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant.(1990) 79:213-217; glass fibers or silicon carbide whiskertransformation of cell cultures, embryos or callus tissue, U.S. Pat. No.5,464,765 or by the direct incubation of DNA with germinating pollen,DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman,G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p.197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors thatcontain defined DNA segments that integrate into the plant genomic DNA.Methods of inoculation of the plant tissue vary depending upon the plantspecies and the Agrobacterium delivery system. A widely used approach isthe leaf disc procedure which can be performed with any tissue explantthat provides a good source for initiation of whole plantdifferentiation. See, e.g., Horsch et al. in Plant Molecular BiologyManual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. Asupplementary approach employs the Agrobacterium delivery system incombination with vacuum infiltration. The Agrobacterium system isespecially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. Inelectroporation, the protoplasts are briefly exposed to a strongelectric field. In microinjection, the DNA is mechanically injecteddirectly into the cells using very small micropipettes. In microparticlebombardment, the DNA is adsorbed on microprojectiles such as magnesiumsulfate crystals or tungsten particles, and the microprojectiles arephysically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The mostcommon method of plant propagation is by seed. Regeneration by seedpropagation, however, has the deficiency that due to heterozygositythere is a lack of uniformity in the crop, since seeds are produced byplants according to the genetic variances governed by Mendelian rules.Basically, each seed is genetically different and each will grow withits own specific traits. Therefore, it is preferred that the transformedplant be produced such that the regenerated plant has the identicaltraits and characteristics of the parent transgenic plant. Therefore, itis preferred that the transformed plant be regenerated bymicropropagation which provides a rapid, consistent reproduction of thetransformed plants.

Micropropagation is a process of growing new generation plants from asingle piece of tissue that has been excised from a selected parentplant or cultivar. This process permits the mass reproduction of plantshaving the preferred tissue expressing the fusion protein. The newgeneration plants which are produced are genetically identical to, andhave all of the characteristics of, the original plant. Micropropagationallows mass production of quality plant material in a short period oftime and offers a rapid multiplication of selected cultivars in thepreservation of the characteristics of the original transgenic ortransformed plant. The advantages of cloning plants are the speed ofplant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration ofculture medium or growth conditions between stages. Thus, themicropropagation process involves four basic stages: Stage one, initialtissue culturing; stage two, tissue culture multiplication; stage three,differentiation and plant formation; and stage four, greenhouseculturing and hardening. During stage one, initial tissue culturing, thetissue culture is established and certified contaminant-free. Duringstage two, the initial tissue culture is multiplied until a sufficientnumber of tissue samples are produced from the seedlings to meetproduction goals. During stage three, the tissue samples grown in stagetwo are divided and grown into individual plantlets. At stage four, thetransformed plantlets are transferred to a greenhouse for hardeningwhere the plants' tolerance to light is gradually increased so that itcan be grown in the natural environment.

According to some embodiments of the invention, the transgenic plantsare generated by transient transformation of leaf cells, meristematiccells or the whole plant.

Transient transformation can be effected by any of the direct DNAtransfer methods described above or by viral infection using modifiedplant viruses.

Viruses that have been shown to be useful for the transformation ofplant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus(BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation ofplants using plant viruses is described in U.S. Pat. No. 4,855,237 (beangolden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese PublishedApplication No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); andGluzman, Y. et al., Communications in Molecular Biology: Viral Vectors,Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirusparticles for use in expressing foreign DNA in many hosts, includingplants are described in WO 87/06261.

According to some embodiments of the invention, the virus used fortransient transformations is avirulent and thus is incapable of causingsevere symptoms such as reduced growth rate, mosaic, ring spots, leafroll, yellowing, streaking, pox formation, tumor formation and pitting.A suitable avirulent virus may be a naturally occurring avirulent virusor an artificially attenuated virus. Virus attenuation may be effectedby using methods well known in the art including, but not limited to,sub-lethal heating, chemical treatment or by directed mutagenesistechniques such as described, for example, by Kurihara and Watanabe(Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992),Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as,for example, the American Type culture Collection (ATCC) or by isolationfrom infected plants. Isolation of viruses from infected plant tissuescan be effected by techniques well known in the art such as described,for example by Foster and Taylor, Eds. “Plant Virology Protocols: FromVirus Isolation to Transgenic Resistance (Methods in Molecular Biology(Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of aninfected plant believed to contain a high concentration of a suitablevirus, preferably young leaves and flower petals, are ground in a buffersolution (e.g., phosphate buffer solution) to produce a virus infectedsap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression ofnon-viral exogenous polynucleotide sequences in plants is demonstratedby the above references as well as by Dawson, W. O. et al., Virology(1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French etal. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990)269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to thevirus itself. Alternatively, the virus can first be cloned into abacterial plasmid for ease of constructing the desired viral vector withthe foreign DNA. The virus can then be excised from the plasmid. If thevirus is a DNA virus, a bacterial origin of replication can be attachedto the viral DNA, which is then replicated by the bacteria.Transcription and translation of this DNA will produce the coat proteinwhich will encapsidate the viral DNA. If the virus is an RNA virus, thevirus is generally cloned as a cDNA and inserted into a plasmid. Theplasmid is then used to make all of the constructions. The RNA virus isthen produced by transcribing the viral sequence of the plasmid andtranslation of the viral genes to produce the coat protein(s) whichencapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which thenative coat protein coding sequence has been deleted from a viralpolynucleotide, a non-native plant viral coat protein coding sequenceand a non-native promoter, preferably the subgenomic promoter of thenon-native coat protein coding sequence, capable of expression in theplant host, packaging of the recombinant plant viral polynucleotide, andensuring a systemic infection of the host by the recombinant plant viralpolynucleotide, has been inserted. Alternatively, the coat protein genemay be inactivated by insertion of the non-native polynucleotidesequence within it, such that a protein is produced. The recombinantplant viral polynucleotide may contain one or more additional non-nativesubgenomic promoters. Each non-native subgenomic promoter is capable oftranscribing or expressing adjacent genes or polynucleotide sequences inthe plant host and incapable of recombination with each other and withnative subgenomic promoters. Non-native (foreign) polynucleotidesequences may be inserted adjacent the native plant viral subgenomicpromoter or the native and a non-native plant viral subgenomic promotersif more than one polynucleotide sequence is included. The non-nativepolynucleotide sequences are transcribed or expressed in the host plantunder control of the subgenomic promoter to produce the desiredproducts.

In a second embodiment, a recombinant plant viral polynucleotide isprovided as in the first embodiment except that the native coat proteincoding sequence is placed adjacent one of the non-native coat proteinsubgenomic promoters instead of a non-native coat protein codingsequence.

In a third embodiment, a recombinant plant viral polynucleotide isprovided in which the native coat protein gene is adjacent itssubgenomic promoter and one or more non-native subgenomic promoters havebeen inserted into the viral polynucleotide. The inserted non-nativesubgenomic promoters are capable of transcribing or expressing adjacentgenes in a plant host and are incapable of recombination with each otherand with native subgenomic promoters. Non-native polynucleotidesequences may be inserted adjacent the non-native subgenomic plant viralpromoters such that the sequences are transcribed or expressed in thehost plant under control of the subgenomic promoters to produce thedesired product.

In a fourth embodiment, a recombinant plant viral polynucleotide isprovided as in the third embodiment except that the native coat proteincoding sequence is replaced by a non-native coat protein codingsequence.

The viral vectors are encapsidated by the coat proteins encoded by therecombinant plant viral polynucleotide to produce a recombinant plantvirus. The recombinant plant viral polynucleotide or recombinant plantvirus is used to infect appropriate host plants. The recombinant plantviral polynucleotide is capable of replication in the host, systemicspread in the host, and transcription or expression of foreign gene(s)(exogenous polynucleotide) in the host to produce the desired protein.Techniques for inoculation of viruses to plants may be found in Fosterand Taylor, eds. “Plant Virology Protocols: From Virus Isolation toTransgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods inVirology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A.“Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A.“Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa,eds. “Principles and Techniques in Plant Virology”, VanNostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present inventioncan also be introduced into a chloroplast genome thereby enablingchloroplast expression.

A technique for introducing exogenous polynucleotide sequences to thegenome of the chloroplasts is known. This technique involves thefollowing procedures. First, plant cells are chemically treated so as toreduce the number of chloroplasts per cell to about one. Then, theexogenous polynucleotide is introduced via particle bombardment into thecells with the aim of introducing at least one exogenous polynucleotidemolecule into the chloroplasts. The exogenous polynucleotides selectedsuch that it is integratable into the chloroplast's genome viahomologous recombination which is readily effected by enzymes inherentto the chloroplast. To this end, the exogenous polynucleotide includes,in addition to a gene of interest, at least one polynucleotide stretchwhich is derived from the chloroplast's genome. In addition, theexogenous polynucleotide includes a selectable marker, which serves bysequential selection procedures to ascertain that all or substantiallyall of the copies of the chloroplast genomes following such selectionwill include the exogenous polynucleotide. Further details relating tothis technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507which are incorporated herein by reference. A polypeptide can thus beproduced by the protein expression system of the chloroplast and becomeintegrated into the chloroplast's inner membrane.

According to some embodiments, there is provided a method of improvingnitrogen use efficiency, yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance of a graftedplant, the method comprising providing a scion that does nottransgenically express a polynucleotide encoding a polypeptide at least80% homologous to the amino acid sequence selected from the groupconsisting of SEQ ID NOs: 202-327 and 4064-6893 and a plant rootstockthat transgenically expresses a polynucleotide encoding a polypeptide atleast about 80%, at least about 81%, at least about 82%, at least about83%, at least about 84%, at least about 85%, at least about 86%, atleast about 87%, at least about 88%, at least about 89%, at least about90%, at least about 91%, at least about 92%, at least about 93%, atleast about 93%, at least about 94%, at least about 95%, at least about96%, at least about 97%, at least about 98%, at least about 99%, e.g.,100% homologous (or identical) to the amino acid sequence selected fromthe group consisting of SEQ ID NOs: 202-219, 221-292, 295-327,4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778,4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690,6708-6785, 6792-6892 or 6893 (e.g., in a constitutive or an abioticstress responsive manner), thereby improving the nitrogen useefficiency, yield, growth rate, biomass, vigor, oil content, seed yield,fiber yield, fiber quality, fiber length, photosynthetic capacity,and/or abiotic stress tolerance of the grafted plant.

In some embodiments, the plant scion is non-transgenic.

Several embodiments relate to a grafted plant exhibiting improvednitrogen use efficiency, yield, growth rate, biomass, vigor, oilcontent, seed yield, fiber yield, fiber quality, fiber length,photosynthetic capacity, and/or abiotic stress tolerance, comprising ascion that does not transgenically express a polynucleotide encoding apolypeptide at least about 80% homologous (or identical) to the aminoacid sequence selected from the group consisting of SEQ ID NOs: 202-327and 4064-6893 and a plant rootstock that transgenically expresses apolynucleotide encoding a polypeptide at at least about 80%, at leastabout 81%, at least about 82%, at least about 83%, at least about 84%,at least about 85%, at least about 86%, at least about 87%, at leastabout 88%, at least about 89%, at least about 90%, at least about 91%,at least about 92%, at least about 93%, at least about 93%, at leastabout 94%, at least about 95%, at least about 96%, at least about 97%,at least about 98%, at least about 99%, e.g., 100% homologous (oridentical) to the amino acid sequence selected from the group consistingof SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210,4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493,5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and6792-6893.

In some embodiments, the plant root stock transgenically expresses apolynucleotide encoding a polypeptide at least about 80%, at least about81%, at least about 82%, at least about 83%, at least about 84%, atleast about 85%, at least about 86%, at least about 87%, at least about88%, at least about 89%, at least about 90%, at least about 91%, atleast about 92%, at least about 93%, at least about 93%, at least about94%, at least about 95%, at least about 96%, at least about 97%, atleast about 98%, at least about 99%, e.g., 100% homologous (oridentical) to the amino acid sequence selected from the group consistingof SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210,4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493,5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and6792-6893 in a stress responsive manner.

According to some embodiments of the invention, the plant root stocktransgenically expresses a polynucleotide encoding a polypeptideselected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention, the plant root stocktransgenically expresses a polynucleotide comprising a nucleic acidsequence at least about 80%, at least about 81%, at least about 82%, atleast about 83%, at least about 84%, at least about 85%, at least about86%, at least about 87%, at least about 88%, at least about 89%, atleast about 90%, at least about 91%, at least about 92%, at least about93%, at least about 93%, at least about 94%, at least about 95%, atleast about 96%, at least about 97%, at least about 98%, at least about99%, e.g., 100% identical to the polynucleotide selected from the groupconsisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323,2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and3955-4062.

According to some embodiments of the invention, the plant root stocktransgenically expresses a polynucleotide selected from the groupconsisting of SEQ ID NOs: 1-201 and 328-4062.

Since processes which increase nitrogen use efficiency, fertilizer useefficiency, oil content, yield, seed yield, fiber yield, fiber quality,fiber length, photosynthetic capacity, growth rate, biomass, vigorand/or abiotic stress tolerance of a plant can involve multiple genesacting additively or in synergy (see, for example, in Quesda et al.,Plant Physiol. 130:951-063, 2002), the present invention also envisagesexpressing a plurality of exogenous polynucleotides in a single hostplant to thereby achieve superior effect on oil content, yield, seedyield, fiber yield, fiber quality, fiber length, photosyntheticcapacity, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single hostplant can be effected by co-introducing multiple nucleic acidconstructs, each including a different exogenous polynucleotide, into asingle plant cell. The transformed cell can then be regenerated into amature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in asingle host plant can be effected by co-introducing into a singleplant-cell a single nucleic-acid construct including a plurality ofdifferent exogenous polynucleotides. Such a construct can be designedwith a single promoter sequence which can transcribe a polycistronicmessenger RNA including all the different exogenous polynucleotidesequences. To enable co-translation of the different polypeptidesencoded by the polycistronic messenger RNA, the polynucleotide sequencescan be inter-linked via an internal ribosome entry site (IRES) sequencewhich facilitates translation of polynucleotide sequences positioneddownstream of the IRES sequence. In this case, a transcribedpolycistronic RNA molecule encoding the different polypeptides describedabove will be translated from both the capped 5′ end and the twointernal IRES sequences of the polycistronic RNA molecule to therebyproduce in the cell all different polypeptides. Alternatively, theconstruct can include several promoter sequences each linked to adifferent exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality ofdifferent exogenous polynucleotides, can be regenerated into a matureplant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in asingle host plant can be effected by introducing different nucleic acidconstructs, including different exogenous polynucleotides, into aplurality of plants. The regenerated transformed plants can then becross-bred and resultant progeny selected for superior abiotic stresstolerance, water use efficiency, fertilizer use efficiency, growth,biomass, yield and/or vigor traits, using conventional plant breedingtechniques.

According to some embodiments of the invention, the method furthercomprising growing the plant expressing the exogenous polynucleotideunder the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity,osmotic stress, drought, water deprivation, excess of water (e.g.,flood, waterlogging), etiolation, low temperature (e.g., cold stress),high temperature, heavy metal toxicity, anaerobiosis, nutrientdeficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrientexcess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method furthercomprising growing the plant expressing the exogenous polynucleotideunder fertilizer limiting conditions (e.g., nitrogen-limitingconditions). Non-limiting examples include growing the plant on soilswith low nitrogen content (40-50% Nitrogen of the content present undernormal or optimal conditions), or even under sever nitrogen deficiency(0-10% Nitrogen of the content present under normal or optimalconditions).

Thus, the invention encompasses plants exogenously expressing thepolynucleotide(s), the nucleic acid constructs and/or polypeptide(s) ofthe invention.

Once expressed within the plant cell or the entire plant, the level ofthe polypeptide encoded by the exogenous polynucleotide can bedetermined by methods well known in the art such as, activity assays,Western blots using antibodies capable of specifically binding thepolypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA),radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry,immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribedfrom the exogenous polynucleotide are well known in the art and include,for example, Northern blot analysis, reverse transcription polymerasechain reaction (RT-PCR) analysis (including quantitative,semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the presentteachings can be harnessed in favor of classical breeding. Thus,sub-sequence data of those polynucleotides described above, can be usedas markers for marker assisted selection (MAS), in which a marker isused for indirect selection of a genetic determinant or determinants ofa trait of interest (e.g., biomass, growth rate, oil content, yield,abiotic stress tolerance, water use efficiency, nitrogen use efficiencyand/or fertilizer use efficiency). Nucleic acid data of the presentteachings (DNA or RNA sequence) may contain or be linked to polymorphicsites or genetic markers on the genome such as restriction fragmentlength polymorphism (RFLP), microsatellites and single nucleotidepolymorphism (SNP), DNA fingerprinting (DFP), amplified fragment lengthpolymorphism (AFLP), expression level polymorphism, polymorphism of theencoded polypeptide and any other polymorphism at the DNA or RNAsequence.

Examples of marker assisted selections include, but are not limited to,selection for a morphological trait (e.g., a gene that affects form,coloration, male sterility or resistance such as the presence or absenceof awn, leaf sheath coloration, height, grain color, aroma of rice);selection for a biochemical trait (e.g., a gene that encodes a proteinthat can be extracted and observed; for example, isozymes and storageproteins); selection for a biological trait (e.g., pathogen races orinsect biotypes based on host pathogen or host parasite interaction canbe used as a marker since the genetic constitution of an organism canaffect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be usedin a wide range of economical plants, in a safe and cost effectivemanner.

Plant lines exogenously expressing the polynucleotide or the polypeptideof the invention are screened to identify those that show the greatestincrease of the desired plant trait.

Thus, according to an additional embodiment of the present invention,there is provided a method of evaluating a trait of a plant, the methodcomprising: (a) expressing in a plant or a portion thereof the nucleicacid construct of some embodiments of the invention; and (b) evaluatinga trait of a plant as compared to a wild type plant of the same type(e.g., a plant not transformed with the claimed biomolecules); therebyevaluating the trait of the plant.

According to an aspect of some embodiments of the invention there isprovided a method of producing a crop comprising growing a crop of aplant expressing an exogenous polynucleotide comprising a nucleic acidsequence encoding a polypeptide at least about 80%, at least about 81%,at least about 82%, at least about 83%, at least about 84%, at leastabout 85%, at least about 86%, at least about 87%, at least about 88%,at least about 89%, at least about 90%, at least about 91%, at leastabout 92%, at least about 93%, at least about 94%, at least about 95%,at least about 96%, at least about 97%, at least about 98%, at leastabout 99%, or more say 100% homologous (e.g., identical) to the aminoacid sequence selected from the group consisting of SEQ ID NOs: 202-219,221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749,4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679,6689-6690, 6708-6785, and 6792-6893, wherein said plant is derived froma plant selected for increased abiotic stress tolerance, increased wateruse efficiency, increased growth rate, increased vigor, increasedbiomass, increased oil content, increased yield, increased seed yield,increased fiber yield, increased fiber quality, increased fiber length,increased photosynthetic capacity, and/or increased fertilizer useefficiency (e.g., increased nitrogen use efficiency) as compared to acontrol plant, thereby producing the crop.

According to an aspect of some embodiments of the present inventionthere is provided a method of producing a crop comprising growing a cropplant transformed with an exogenous polynucleotide encoding apolypeptide at least 80%, at least about 81%, at least about 82%, atleast about 83%, at least about 84%, at least about 85%, at least about86%, at least about 87%, at least about 88%, at least about 89%, atleast about 90%, at least about 91%, at least about 92%, at least about93%, at least about 94%, at least about 95%, at least about 96%, atleast about 97%, at least about 98%, at least about 99%, or more say100% homologous (e.g., identical) to the amino acid sequence selectedfrom the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327,4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778,4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690,6708-6785, and 6792-6893, wherein the crop plant is derived from plantsselected for increased abiotic stress tolerance, increased water useefficiency, increased growth rate, increased vigor, increased biomass,increased oil content, increased yield, increased seed yield, increasedfiber yield, increased fiber quality, increased fiber length, increasedphotosynthetic capacity, and/or increased fertilizer use efficiency(e.g., increased nitrogen use efficiency) as compared to a wild typeplant of the same species which is grown under the same growthconditions, and the crop plant having the increased abiotic stresstolerance, increased water use efficiency, increased growth rate,increased vigor, increased biomass, increased oil content, increasedyield, increased seed yield, increased fiber yield, increased fiberquality, increased fiber length, increased photosynthetic capacity,and/or increased fertilizer use efficiency (e.g., increased nitrogen useefficiency), thereby producing the crop.

According to some embodiments of the invention the polypeptide isselected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to an aspect of some embodiments of the invention there isprovided a method of producing a crop comprising growing a crop of aplant expressing an exogenous polynucleotide which comprises a nucleicacid sequence which is at least about 80%, at least about 81%, at leastabout 82%, at least about 83%, at least about 84%, at least about 85%,at least about 86%, at least about 87%, at least about 88%, at leastabout 89%, at least about 90%, at least about 91%, at least about 92%,at least about 93%, at least about 93%, at least about 94%, at leastabout 95%, at least about 96%, at least about 97%, at least about 98%,at least about 99%, e.g., 100% identical to the nucleic acid sequenceselected from the group consisting of SEQ ID NOs: 1-91, 94-201,328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848,3850-3852, 3854, 3856-3953, and 3955-4062, wherein said plant is derivedfrom a plant (parent plant) that has been transformed to express theexogenous polynucleotide and that has been selected for increasedabiotic stress tolerance, increased water use efficiency, increasedgrowth rate, increased vigor, increased biomass, increased oil content,increased yield, increased seed yield, increased fiber yield, increasedfiber quality, increased fiber length, increased photosyntheticcapacity, and/or increased fertilizer use efficiency (e.g., increasednitrogen use efficiency) as compared to a control plant, therebyproducing the crop.

According to an aspect of some embodiments of the present inventionthere is provided a method of producing a crop comprising growing a cropplant transformed with an exogenous polynucleotide at least 80%, atleast about 81%, at least about 82%, at least about 83%, at least about84%, at least about 85%, at least about 86%, at least about 87%, atleast about 88%, at least about 89%, at least about 90%, at least about91%, at least about 92%, at least about 93%, at least about 94%, atleast about 95%, at least about 96%, at least about 97%, at least about98%, at least about 99%, or more say 100% identical to the nucleic acidsequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201,328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848,3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plant isderived from plants selected for increased abiotic stress tolerance,increased water use efficiency, increased growth rate, increased vigor,increased biomass, increased oil content, increased yield, increasedseed yield, increased fiber yield, increased fiber quality, increasedfiber length, increased photosynthetic capacity, and/or increasedfertilizer use efficiency (e.g., increased nitrogen use efficiency) ascompared to a wild type plant of the same species which is grown underthe same growth conditions, and the crop plant having the increasedabiotic stress tolerance, increased water use efficiency, increasedgrowth rate, increased vigor, increased biomass, increased oil content,increased yield, increased seed yield, increased fiber yield, increasedfiber quality, increased fiber length, increased photosyntheticcapacity, and/or increased fertilizer use efficiency (e.g., increasednitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the exogenouspolynucleotide is selected from the group consisting of SEQ ID NOs:1-201 and 328-4062.

According to an aspect of some embodiments of the invention there isprovided a method of growing a crop comprising seeding seeds and/orplanting plantlets of a plant transformed with the exogenouspolynucleotide of the invention, e.g., the polynucleotide which encodesthe polypeptide of some embodiments of the invention, wherein the plantis derived from plants selected for at least one trait selected from thegroup consisting of increased abiotic stress tolerance, increased wateruse efficiency, increased growth rate, increased vigor, increasedbiomass, increased oil content, increased yield, increased seed yield,increased fiber yield, increased fiber quality, increased fiber length,increased photosynthetic capacity, and/or increased fertilizer useefficiency (e.g., increased nitrogen use efficiency) as compared to anon-transformed plant.

According to some embodiments of the invention the method of growing acrop comprising seeding seeds and/or planting plantlets of a planttransformed with an exogenous polynucleotide comprising a nucleic acidsequence encoding a polypeptide at least about 80%, at least about 81%,at least about 82%, at least about 83%, at least about 84%, at leastabout 85%, at least about 86%, at least about 87%, at least about 88%,at least about 89%, at least about 90%, at least about 91%, at leastabout 92%, at least about 93%, at least about 93%, at least about 94%,at least about 95%, at least about 96%, at least about 97%, at leastabout 98%, at least about 99%, e.g., 100% identical to SEQ ID NO:202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603,4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816,5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, wherein the plant isderived from plants selected for at least one trait selected from thegroup consisting of increased abiotic stress tolerance, increased wateruse efficiency, increased growth rate, increased vigor, increasedbiomass, increased oil content, increased yield, increased seed yield,increased fiber yield, increased fiber quality, increased fiber length,increased photosynthetic capacity, and/or increased fertilizer useefficiency (e.g., increased nitrogen use efficiency) as compared to anon-transformed plant, thereby growing the crop.

According to some embodiments of the invention the polypeptide isselected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.

According to some embodiments of the invention the method of growing acrop comprising seeding seeds and/or planting plantlets of a planttransformed with an exogenous polynucleotide comprising the nucleic acidsequence at least about 80%, at least about 81%, at least about 82%, atleast about 83%, at least about 84%, at least about 85%, at least about86%, at least about 87%, at least about 88%, at least about 89%, atleast about 90%, at least about 91%, at least about 92%, at least about93%, at least about 93%, at least about 94%, at least about 95%, atleast about 96%, at least about 97%, at least about 98%, at least about99%, e.g., 100% identical to SEQ ID NO: 1-91, 94-201, 328-2317,2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854,3856-3953, 3955-4061 or 4062, wherein the plant is derived from plantsselected for at least one trait selected from the group consisting ofincreased abiotic stress tolerance, increased water use efficiency,increased growth rate, increased vigor, increased biomass, increased oilcontent, increased yield, increased seed yield, increased fiber yield,increased fiber quality, increased fiber length, increasedphotosynthetic capacity, and/or increased fertilizer use efficiency(e.g., increased nitrogen use efficiency) as compared to anon-transformed plant, thereby growing the crop.

According to some embodiments of the invention the exogenouspolynucleotide is selected from the group consisting of SEQ ID NOs:1-201 and 328-4062.

The effect of the transgene (the exogenous polynucleotide encoding thepolypeptide) on abiotic stress tolerance can be determined using knownmethods such as detailed below and in the Examples section whichfollows.

Abiotic stress tolerance—Transformed (i.e., expressing the transgene)and non-transformed (wild type) plants are exposed to an abiotic stresscondition, such as water deprivation, suboptimal temperature (lowtemperature, high temperature), nutrient deficiency, nutrient excess, asalt stress condition, osmotic stress, heavy metal toxicity,anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay—Transgenic plants with tolerance to high saltconcentrations are expected to exhibit better germination, seedlingvigor or growth in high salt. Salt stress can be effected in many wayssuch as, for example, by irrigating the plants with a hyperosmoticsolution, by cultivating the plants hydroponically in a hyperosmoticgrowth solution (e.g., Hoagland solution), or by culturing the plants ina hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MSmedium)]. Since different plants vary considerably in their tolerance tosalinity, the salt concentration in the irrigation water, growthsolution, or growth medium can be adjusted according to the specificcharacteristics of the specific plant cultivar or variety, so as toinflict a mild or moderate effect on the physiology and/or morphology ofthe plants (for guidelines as to appropriate concentration see,Bernstein and Kafkafi, Root Growth Under Salinity Stress In: PlantRoots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U.(editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigatingplants at different developmental stages with increasing concentrationsof sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl)applied from the bottom and from above to ensure even dispersal of salt.Following exposure to the stress condition the plants are frequentlymonitored until substantial physiological and/or morphological effectsappear in wild type plants. Thus, the external phenotypic appearance,degree of wilting and overall success to reach maturity and yieldprogeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are notlimited to, the average wet and dry weight, growth rate, leaf size, leafcoverage (overall leaf area), the weight of the seeds yielded, theaverage seed size and the number of seeds produced per plant.Transformed plants not exhibiting substantial physiological and/ormorphological effects, or exhibiting higher biomass than wild-typeplants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test—Osmotic stress assays (including sodium chlorideand mannitol assays) are conducted to determine if an osmotic stressphenotype was sodium chloride-specific or if it was a general osmoticstress related phenotype. Plants which are tolerant to osmotic stressmay have more tolerance to drought and/or freezing. For salt and osmoticstress germination experiments, the medium is supplemented for examplewith 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay—Tolerance to drought isperformed to identify the genes conferring better plant survival afteracute water deprivation. To analyze whether the transgenic plants aremore tolerant to drought, an osmotic stress produced by the non-ionicosmolyte sorbitol in the medium can be performed. Control and transgenicplants are germinated and grown in plant-agar plates for 4 days, afterwhich they are transferred to plates containing 500 mM sorbitol. Thetreatment causes growth retardation, then both control and transgenicplants are compared, by measuring plant weight (wet and dry), yield, andby growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plantsoverexpressing the polynucleotides detailed above. Seeds from controlArabidopsis plants, or other transgenic plants overexpressing thepolypeptide of the invention are germinated and transferred to pots.Drought stress is obtained after irrigation is ceased accompanied byplacing the pots on absorbent paper to enhance the soil-drying rate.Transgenic and control plants are compared to each other when themajority of the control plants develop severe wilting. Plants arere-watered after obtaining a significant fraction of the control plantsdisplaying a severe wilting. Plants are ranked comparing to controls foreach of two criteria: tolerance to the drought conditions and recovery(survival) following re-watering.

Cold stress tolerance—To analyze cold stress, mature (25 day old) plantsare transferred to 4° C. chambers for 1 or 2 weeks, with constitutivelight. Later on plants are moved back to greenhouse. Two weeks laterdamages from chilling period, resulting in growth retardation and otherphenotypes, are compared between both control and transgenic plants, bymeasuring plant weight (wet and dry), and by comparing growth ratesmeasured as time to flowering, plant size, yield, and the like.

Heat stress tolerance—Heat stress tolerance is achieved by exposing theplants to temperatures above 34° C. for a certain period. Planttolerance is examined after transferring the plants back to 22° C. forrecovery and evaluation after 5 days relative to internal controls(non-transgenic plants) or plants not exposed to neither cold or heatstress.

Water use efficiency—can be determined as the biomass produced per unittranspiration. To analyze WUE, leaf relative water content can bemeasured in control and transgenic plants. Fresh weight (FW) isimmediately recorded; then leaves are soaked for 8 hours in distilledwater at room temperature in the dark, and the turgid weight (TW) isrecorded. Total dry weight (DW) is recorded after drying the leaves at60° C. to a constant weight. Relative water content (RWC) is calculatedaccording to the following Formula I:

Formula IRWC=[(FW−DW)/(TW−DW)]×100

Fertilizer use efficiency—To analyze whether the transgenic plants aremore responsive to fertilizers, plants are grown in agar plates or potswith a limited amount of fertilizer, as described, for example, inExamples 17-19 hereinbelow and in Yanagisawa et al (Proc Natl Acad SciUSA. 2004; 101:7833-8). The plants are analyzed for their overall size,time to flowering, yield, protein content of shoot and/or grain. Theparameters checked are the overall size of the mature plant, its wet anddry weight, the weight of the seeds yielded, the average seed size andthe number of seeds produced per plant. Other parameters that may betested are: the chlorophyll content of leaves (as nitrogen plant statusand the degree of leaf verdure is highly correlated), amino acid and thetotal protein content of the seeds or other plant parts such as leavesor shoots, oil content, etc. Similarly, instead of providing nitrogen atlimiting amounts, phosphate or potassium can be added at increasingconcentrations. Again, the same parameters measured are the same aslisted above. In this way, nitrogen use efficiency (NUE), phosphate useefficiency (PUE) and potassium use efficiency (KUE) are assessed,checking the ability of the transgenic plants to thrive under nutrientrestraining conditions.

Nitrogen use efficiency—To analyze whether the transgenic plants (e.g.,Arabidopsis plants) are more responsive to nitrogen, plant are grown in0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogenconcentration). Plants are allowed to grow for additional 25 days oruntil seed production. The plants are then analyzed for their overallsize, time to flowering, yield, protein content of shoot and/orgrain/seed production. The parameters checked can be the overall size ofthe plant, wet and dry weight, the weight of the seeds yielded, theaverage seed size and the number of seeds produced per plant. Otherparameters that may be tested are: the chlorophyll content of leaves (asnitrogen plant status and the degree of leaf greenness is highlycorrelated), amino acid and the total protein content of the seeds orother plant parts such as leaves or shoots and oil content. Transformedplants not exhibiting substantial physiological and/or morphologicaleffects, or exhibiting higher measured parameters levels than wild-typeplants, are identified as nitrogen use efficient plants.

Nitrogen Use efficiency assay using plantlets—The assay is doneaccording to Yanagisawa-S. et al. with minor modifications (“Metabolicengineering with Dofl transcription factor in plants: Improved nitrogenassimilation and growth under low-nitrogen conditions” Proc. Natl. Acad.Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selectionagent are transferred to two nitrogen-limiting conditions: MS media inwhich the combined nitrogen concentration (NH₄NO₃ and KNO₃) was 0.75 mM(nitrogen deficient conditions) or 6-15 mM (optimal nitrogenconcentration). Plants are allowed to grow for additional 30-40 days andthen photographed, individually removed from the Agar (the shoot withoutthe roots) and immediately weighed (fresh weight) for later statisticalanalysis. Constructs for which only T1 seeds are available are sown onselective media and at least 20 seedlings (each one representing anindependent transformation event) are carefully transferred to thenitrogen-limiting media. For constructs for which T2 seeds areavailable, different transformation events are analyzed. Usually, 20randomly selected plants from each event are transferred to thenitrogen-limiting media allowed to grow for 3-4 additional weeks andindividually weighed at the end of that period. Transgenic plants arecompared to control plants grown in parallel under the same conditions.Mock-transgenic plants expressing the uidA reporter gene (GUS) under thesame promoter or transgenic plants carrying the same promoter butlacking a reporter gene are used as control.

Nitrogen determination—The procedure for N (nitrogen) concentrationdetermination in the structural parts of the plants involves thepotassium persulfate digestion method to convert organic N to NO₃ ⁻(Purcell and King 1996 Argon. J. 88:111-113, the modified Cd⁻ mediatedreduction of NO₃ ⁻ to NO₂ ⁻ (Vodovotz 1996 Biotechniques 20:390-394) andthe measurement of nitrite by the Griess assay (Vodovotz 1996, supra).The absorbance values are measured at 550 nm against a standard curve ofNaNO₂. The procedure is described in details in Samonte et al. 2006Agron. J. 98:168-176.

Germination tests—Germination tests compare the percentage of seeds fromtransgenic plants that could complete the germination process to thepercentage of seeds from control plants that are treated in the samemanner. Normal conditions are considered for example, incubations at 22°C. under 22-hour light 2-hour dark daily cycles. Evaluation ofgermination and seedling vigor is conducted between 4 and 14 days afterplanting. The basal media is 50% MS medium (Murashige and Skoog, 1962Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold(incubating at temperatures lower than 10° C. instead of 22° C.) orusing seed inhibition solutions that contain high concentrations of anosmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM,300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrationsof salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant's vigor, growth rate, biomass,yield and/or oil content can be determined using known methods.

Plant vigor—The plant vigor can be calculated by the increase in growthparameters such as leaf area, fiber length, rosette diameter, plantfresh weight and the like per time.

Growth rate—The growth rate can be measured using digital analysis ofgrowing plants. For example, images of plants growing in greenhouse onplot basis can be captured every 3 days and the rosette area can becalculated by digital analysis. Rosette area growth is calculated usingthe difference of rosette area between days of sampling divided by thedifference in days between samples.

Evaluation of growth rate can be done by measuring plant biomassproduced, rosette area, leaf size or root length per time (can bemeasured in cm² per day of leaf area).

Relative growth area can be calculated using Formula II.

Formula II:Relative growth rate area=Regression coefficient of area along timecourse

Thus, the relative growth area rate is in units of area units (e.g.,mm²/day or cm²/day) and the relative length growth rate is in units oflength units (e.g., cm/day or mm/day).

For example, RGR can be determined for plant height (Formula III), SPAD(Formula IV), Number of tillers (Formula V), root length (Formula VI),vegetative growth (Formula VII), leaf number (Formula VIII), rosettearea (Formula IX), rosette diameter (Formula X), plot coverage (FormulaXI), leaf blade area (Formula XII), and leaf area (Formula XIII).

Formula III:Relative growth rate of Plant height=Regression coefficient of Plantheight along time course (measured in cm/day).

Formula IV:Relative growth rate of SPAD=Regression coefficient of SPAD measurementsalong time course.

Formula V:Relative growth rate of Number of tillers=Regression coefficient ofNumber of tillers along time course (measured in units of “number oftillers/day”).

Formula VI:Relative growth rate of root length=Regression coefficient of rootlength along time course (measured in cm per day).

Vegetative Growth Rate Analysis—

was calculated according to Formula VII below.

Formula VII:Relative growth rate of vegetative growth=Regression coefficient ofvegetative weight along time course (measured in grams per day).

Formula VIII:Relative growth rate of leaf number=Regression coefficient of leafnumber along time course (measured in number per day).

Formula IX:Relative growth rate of rosette area=Regression coefficient of rosettearea along time course (measured in cm² per day).

Formula X:Relative growth rate of rosette diameter=Regression coefficient ofrosette diameter along time course (measured in cm per day).

Formula XI:Relative growth rate of plot coverage=Regression coefficient of plot(measured in cm² per day).

Formula XII:Relative growth rate of leaf blade area=Regression coefficient of leafarea along time course (measured in cm² per day).

Formula XIII:Relative growth rate of leaf area=Regression coefficient of leaf areaalong time course (measured in cm² per day).

Formula XIV:1000 Seed Weight=number of seed in sample/sample weight×1000

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIIIand XXXVII below.

Formula XV:Harvest Index(seed)=Average seed yield per plant/Average dry weight.

Formula XVI:Harvest Index(Sorghum)=Average grain dry weight per Head/(Averagevegetative dry weight per Head+Average Head dry weight)

Formula XVII:Harvest Index (Maize)=Average grain weight per plant/to (Averagevegetative dry weight per plant plus Average grain weight per plant)

Harvest Index (for barley)—The harvest index is calculated using FormulaXVIII.

Formula XVIII:Harvest Index(for barley and wheat)=Average spike dry weight perplant/(Average vegetative dry weight per plant+Average spike dry weightper plant)

Following is a non-limited list of additional parameters which can bedetected in order to show the effect of the transgene on the desiredplant's traits:

Formula XIX:Grain circularity=4×3.14(grain area/perimeter²)

Formula XX:internode volume=3.14×(d/2)²×1

Formula XXI:Normalized ear weight per plant+vegetative dry weight.

Formula XXII:Root/Shoot Ratio=total weight of the root at harvest/total weight of thevegetative portion above ground at harvest. (=RBiH/BiH)

Formula XXIII:Ratio of the number of pods per node on main stem at pod set=Totalnumber of pods on main stem/Total number of nodes on main stem.

Formula XXIV:Ratio of total number of seeds in main stem to number of seeds onlateral branches=Total number of seeds on main stem at pod set/Totalnumber of seeds on lateral branches at pod set.

Formula XXV:Petiole Relative Area=(Petiole area)/Rosette area(measured in %).

Formula XXVI:% reproductive tiller percentage=Number of Reproductive tillers/numberof tillers)×100.

Formula XXVII:Spikes Index=Average Spikes weight per plant/(Average vegetative dryweight per plant plus Average Spikes weight per plant).

Formula XXVIII:Relative growth rate of root coverage=Regression coefficient of rootcoverage along time course.

Formula XXIX:Seed Oil yield=Seed yield per plant(gr.)*Oil % in seed.

Formula XXX:shoot/root Ratio=total weight of the vegetative portion above ground atharvest/total weight of the root at harvest.

Formula XXXI:Spikelets Index=Average Spikelets weight per plant/(Average vegetativedry weight per plant plus Average Spikelets weight per plant).

Formula XXXII:% Canopy coverage=(1−(PAR_DOWN/PAR_UP))×100.

Formula XXXIII:leaf mass fraction=Leaf area/shoot FW.

Formula XXXIV:Relative growth rate based on dry weight=Regression coefficient of dryweight along time course.

Formula XXXV:Total dry matter(for Maize)=Normalized ear weight per plant+vegetativedry weight.

$\begin{matrix}{{{Agronomical}\mspace{14mu}{NUE}} = \frac{\begin{matrix}{{{Yield}\mspace{14mu}{per}\mspace{14mu}{plant}\mspace{14mu}\left( {{Kg}.} \right)^{X\mspace{14mu}{Nitrogen}\mspace{14mu}{Fertilization}}} -} \\{{Yield}\mspace{14mu}{per}\mspace{14mu}{plant}\mspace{14mu}\left( {{Kg}.} \right)^{0\%\mspace{14mu}{Nitrogen}\mspace{14mu}{Fertilization}}}\end{matrix}}{{Fertilizer}^{X}}} & {{Formula}\mspace{14mu}{XXXVI}}\end{matrix}$

Formula XXXVII:Harvest Index(brachypodium)=Average grain weight/averagedry(vegetative+spikelet)weight per plant.

Formula XXXVIII:Harvest Index for Sorghum*(*when the plants were not dried)=FW(freshweight)Heads/(FW Heads+FW Plants)

Grain fill rate [mg/day]—Rate of dry matter accumulation in grain. Thegrain fill rate is calculated using Formula XXXIX

Formula XXXIX:Grain fill rate [mg/day]=[Grain weight*ear-1×1000]/[Grainnumber*ear−1]×Grain filling duration].

Grain protein concentration—Grain protein content (g grain protein m⁻²)is estimated as the product of the mass of grain N (g grain N m⁻²)multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990,supra). The grain protein concentration is estimated as the ratio ofgrain protein content per unit mass of the grain (g grain protein kg⁻¹grain).

Fiber length—Fiber length can be measured using fibrograph. Thefibrograph system was used to compute length in terms of “Upper HalfMean” length. The upper half mean (UHM) is the average length of longerhalf of the fiber distribution. The fibrograph measures length in spanlengths at a given percentage point (cottoninc (dot)com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of cornmay be manifested as one or more of the following: increase in thenumber of plants per growing area, increase in the number of ears perplant, increase in the number of rows per ear, number of kernels per earrow, kernel weight, thousand kernel weight (1000-weight), earlength/diameter, increase oil content per kernel and increase starchcontent per kernel.

As mentioned, the increase of plant yield can be determined by variousparameters. For example, increased yield of rice may be manifested by anincrease in one or more of the following: number of plants per growingarea, number of panicles per plant, number of spikelets per panicle,number of flowers per panicle, increase in the seed filling rate,increase in thousand kernel weight (1000-weight), increase oil contentper seed, increase starch content per seed, among others. An increase inyield may also result in modified architecture, or may occur because ofmodified architecture.

Similarly, increased yield of soybean may be manifested by an increasein one or more of the following: number of plants per growing area,number of pods per plant, number of seeds per pod, increase in the seedfilling rate, increase in thousand seed weight (1000-weight), reduce podshattering, increase oil content per seed, increase protein content perseed, among others. An increase in yield may also result in modifiedarchitecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one ormore of the following: number of plants per growing area, number of podsper plant, number of seeds per pod, increase in the seed filling rate,increase in thousand seed weight (1000-weight), reduce pod shattering,increase oil content per seed, among others. An increase in yield mayalso result in modified architecture, or may occur because of modifiedarchitecture.

Increased yield of cotton may be manifested by an increase in one ormore of the following: number of plants per growing area, number ofbolls per plant, number of seeds per boll, increase in the seed fillingrate, increase in thousand seed weight (1000-weight), increase oilcontent per seed, improve fiber length, fiber strength, among others. Anincrease in yield may also result in modified architecture, or may occurbecause of modified architecture.

Oil content—The oil content of a plant can be determined by extractionof the oil from the seed or the vegetative portion of the plant.Briefly, lipids (oil) can be removed from the plant (e.g., seed) bygrinding the plant tissue in the presence of specific solvents (e.g.,hexane or petroleum ether) and extracting the oil in a continuousextractor. Indirect oil content analysis can be carried out usingvarious known methods such as Nuclear Magnetic Resonance (NMR)Spectroscopy, which measures the resonance energy absorbed by hydrogenatoms in the liquid state of the sample [See for example, Conway T F.and Earle F R., 1963, Journal of the American Oil Chemists' Society;Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)];the Near Infrared (NI) Spectroscopy, which utilizes the absorption ofnear infrared energy (1100-2500 nm) by the sample; and a methoddescribed in WO/2001/023884, which is based on extracting oil a solvent,evaporating the solvent in a gas stream which forms oil particles, anddirecting a light into the gas stream and oil particles which forms adetectable reflected light.

Thus, the present invention is of high agricultural value for promotingthe yield of commercially desired crops (e.g., biomass of vegetativeorgan such as poplar wood, or reproductive organ such as number of seedsor seed biomass).

Any of the transgenic plants described hereinabove or parts thereof maybe processed to produce a feed, meal, protein or oil preparation, suchas for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increasedoil content can be used to produce plant oil (by extracting the oil fromthe plant).

The plant oil (including the seed oil and/or the vegetative portion oil)produced according to the method of the invention may be combined with avariety of other ingredients. The specific ingredients included in aproduct are determined according to the intended use. Exemplary productsinclude animal feed, raw material for chemical modification,biodegradable plastic, blended food product, edible oil, biofuel,cooking oil, lubricant, biodiesel, snack food, cosmetics, andfermentation process raw material. Exemplary products to be incorporatedto the plant oil include animal feeds, human food products such asextruded snack foods, breads, as a food binding agent, aquaculturefeeds, fermentable mixtures, food supplements, sport drinks, nutritionalfood bars, multi-vitamin supplements, diet drinks, and cereal foods.According to some embodiments of the invention, the oil comprises a seedoil.

According to some embodiments of the invention, the oil comprises avegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms apart of a plant.

According to another embodiment of the present invention, there isprovided a food or feed comprising the plants or a portion thereof ofthe present invention.

As used herein the term “about” refers to ±10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having”and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, methodor structure may include additional ingredients, steps and/or parts, butonly if the additional ingredients, steps and/or parts do not materiallyalter the basic and novel characteristics of the claimed composition,method or structure.

As used herein, the singular form “a”, “an” and “the” include pluralreferences unless the context clearly dictates otherwise. For example,the term “a compound” or “at least one compound” may include a pluralityof compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention maybe presented in a range format. It should be understood that thedescription in range format is merely for convenience and brevity andshould not be construed as an inflexible limitation on the scope of theinvention. Accordingly, the description of a range should be consideredto have specifically disclosed all the possible subranges as well asindividual numerical values within that range. For example, descriptionof a range such as from 1 to 6 should be considered to have specificallydisclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numberswithin that range, for example, 1, 2, 3, 4, 5, and 6. This appliesregardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to includeany cited numeral (fractional or integral) within the indicated range.The phrases “ranging/ranges between” a first indicate number and asecond indicate number and “ranging/ranges from” a first indicate number“to” a second indicate number are used herein interchangeably and aremeant to include the first and second indicated numbers and all thefractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniquesand procedures for accomplishing a given task including, but not limitedto, those manners, means, techniques and procedures either known to, orreadily developed from known manners, means, techniques and proceduresby practitioners of the chemical, pharmacological, biological,biochemical and medical arts.

When reference is made to particular sequence listings, such referenceis to be understood to also encompass sequences that substantiallycorrespond to its complementary sequence as including minor sequencevariations, resulting from, e.g., sequencing errors, cloning errors, orother alterations resulting in base substitution, base deletion or baseaddition, provided that the frequency of such variations is less than 1in 50 nucleotides, alternatively, less than 1 in 100 nucleotides,alternatively, less than 1 in 200 nucleotides, alternatively, less than1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides,alternatively, less than 1 in 5,000 nucleotides, alternatively, lessthan 1 in 10,000 nucleotides.

It is appreciated that certain features of the invention, which are, forclarity, described in the context of separate embodiments, may also beprovided in combination in a single embodiment. Conversely, variousfeatures of the invention, which are, for brevity, described in thecontext of a single embodiment, may also be provided separately or inany suitable subcombination or as suitable in any other describedembodiment of the invention. Certain features described in the contextof various embodiments are not to be considered essential features ofthose embodiments, unless the embodiment is inoperative without thoseelements.

Various embodiments and aspects of the present invention as delineatedhereinabove and as claimed in the claims section below find experimentalsupport in the following examples.

EXAMPLES

Reference is now made to the following examples, which together with theabove descriptions illustrate some embodiments of the invention in a nonlimiting fashion.

Generally, the nomenclature used herein and the laboratory proceduresutilized in the present invention include molecular, biochemical,microbiological and recombinant DNA techniques. Such techniques arethoroughly explained in the literature. See, for example, “MolecularCloning: A laboratory Manual” Sambrook et al., (1989); “CurrentProtocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed.(1994); Ausubel et al., “Current Protocols in Molecular Biology”, JohnWiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide toMolecular Cloning”, John Wiley & Sons, New York (1988); Watson et al.,“Recombinant DNA”, Scientific American Books, New York; Birren et al.(eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, ColdSpring Harbor Laboratory Press, New York (1998); methodologies as setforth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis,J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-IIIColigan J. E., ed. (1994); Stites et al. (eds), “Basic and ClinicalImmunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994);Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W.H. Freeman and Co., New York (1980); available immunoassays areextensively described in the patent and scientific literature, see, forexample, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578;3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533;3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521;“Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic AcidHybridization” Hames, B. D., and Higgins S. J., eds. (1985);“Transcription and Translation” Hames, B. D., and Higgins S. J., Eds.(1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “ImmobilizedCells and Enzymes” IRL Press, (1986); “A Practical Guide to MolecularCloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317,Academic Press; “PCR Protocols: A Guide To Methods And Applications”,Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategiesfor Protein Purification and Characterization—A Laboratory CourseManual” CSHL Press (1996); all of which are incorporated by reference asif fully set forth herein. Other general references are providedthroughout this document. The procedures therein are believed to be wellknown in the art and are provided for the convenience of the reader. Allthe information contained therein is incorporated herein by reference.

General Experimental and Bioinformatics Methods

RNA extraction—Tissues growing at various growth conditions (asdescribed below) were sampled and RNA was extracted using TRIzol Reagentfrom Invitrogen [invitrogen (dot) com/content (dot)cfm?pageid=469].Approximately 30-50 mg of tissue was taken from samples. The weighedtissues were ground using pestle and mortar in liquid nitrogen andresuspended in 500 μl of TRIzol Reagent. To the homogenized lysate, 100μl of chloroform was added followed by precipitation using isopropanoland two washes with 75% ethanol. The RNA was eluted in 30 μl ofRNase-free water. RNA samples were cleaned up using Qiagen's RNeasyminikit clean-up protocol as per the manufacturer's protocol (QIAGENInc, CA USA). For convenience, each micro-array expression informationtissue type has received an expression Set ID.

Correlation analysis—was performed for selected genes according to someembodiments of the invention, in which the characterized parameters(measured parameters according to the correlation IDs) were used as “xaxis” for correlation with the tissue transcriptome which was used asthe “Y axis”. For each gene and measured parameter a correlationcoefficient “R” was calculated (using Pearson correlation) along with ap-value for the significance of the correlation. When the correlationcoefficient (R) between the levels of a gene's expression in a certaintissue and a phenotypic performance across ecotypes/variety/hybrid ishigh in absolute value (between 0.5-1), there is an association betweenthe gene (specifically the expression level of this gene) the phenotypiccharacteristic (e.g., improved nitrogen use efficiency, abiotic stresstolerance, yield, growth rate and the like).

Example 1 Identifying Genes which Increase Nitrogen Use Efficiency(Nue), Fertilizer Use Efficiency (Fue), Yield, Growth Rate, Vigor,Biomass, Oil Content, Abiotic Stress Tolerance (Abst) and/or Water UseEfficiency (Wue) in Plants

The present inventors have identified polynucleotides which upregulationof expression thereof in plants increases nitrogen use efficiency (NUE),fertilizer use efficiency (FUE), yield (e.g., seed yield, oil yield,grain quantity and/or quality), growth rate, vigor, biomass, oilcontent, fiber yield, fiber quality, fiber length, abiotic stresstolerance (ABST) and/or water use efficiency (WUE) of a plant.

All nucleotide sequence datasets used here were originated from publiclyavailable databases or from performing sequencing using the Solexatechnology (e.g. Barley and Sorghum). Sequence data from 100 differentplant species was introduced into a single, comprehensive database.Other information on gene expression, protein annotation, enzymes andpathways were also incorporated. Major databases used include:

Genomes

Arabidopsis genome [TAIR genome version 6 (arabidopsis (dot) org/)]

Rice genome [IRGSP build 4.0 (rgp (dot) dna (dot) affrc (dot) go (dot)jp/IRGSP/)].

Poplar [Populus trichocarpa release 1.1 from JGI (assembly release v1.0)(genome (dot) jgi-psf (dot) org/)]

Brachypodium [JGI 4× assembly, brachpodium (dot) org)]

Soybean [DOE-JGI SCP, versions Glyma0 or Glyma1 (phytozome (dot) net/)]

Grape [French-Italian Public Consortium for Grapevine GenomeCharacterization grapevine genome (genoscope (dot) cns (dot) fr/)]

Castobean [TIGR/J Craig Venter Institute 4× assembly Rmsc (dot) jcvi(dot) org/r_communis]

Sorghum [DOE-JGI SCP, version Sbi1 [phytozome (dot) net/)].

Maize [maizesequence (dot) org/]

Cucumber [cucumber (dot) genomics (dot) org (dot) cn/page/cucumber/index

(dot) jsp]

Tomato [solgenomics (dot) net/tomato/]

Cassava [phytozome (dot) net/cassava (dot) php]

Expressed EST and mRNA Sequences were Extracted from the FollowingDatabases:

GenBank (ncbi (dot) nlm (dot) nih (dot) gov/Genbank/).

RefSeq (ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/).

TAIR (arabidopsis (dot) org/).

Protein and Pathway Databases

Uniprot [uniprot (dot) org/].

AraCyc [arabidopsis (dot) org/biocyc/index (dot) jsp].

ENZYME [expasy (dot) org/enzyme/].

Microarray Datasets were Downloaded from:

GEO (ncbi (dot) nlm(dot) nih (dot) gov/geo/)

TAIR (arabidopsis(dot) org/).

Proprietary micro-array data (See WO2008/122980 and Examples 3-13below).

QTL and SNPs Information

Gramene [gramene (dot) org/qt1/].

Panzea [panzea (dot) org/index (dot) html].

Soybean QTL: [soybeanbreederstoolbox(dot) com/].

Database Assembly—was performed to build a wide, rich, reliableannotated and easy to analyze database comprised of publicly availablegenomic mRNA, ESTs DNA sequences, data from various crops as well asgene expression, protein annotation and pathway, QTLs data, and otherrelevant information.

Database assembly is comprised of a toolbox of gene refining,structuring, annotation and analysis tools enabling to construct atailored database for each gene discovery project. Gene refining andstructuring tools enable to reliably detect splice variants andantisense transcripts, generating understanding of various potentialphenotypic outcomes of a single gene. The capabilities of the “LEADS”platform of Compugen LTD for analyzing human genome have been confirmedand accepted by the scientific community [see e.g., “WidespreadAntisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21,379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300(5623), 1288-91; “Computational analysis of alternative splicing usingEST tissue information”, Xie H et al. Genomics 2002], and have beenproven most efficient in plant genomics as well.

EST clustering and gene assembly—For gene clustering and assembly oforganisms with available genome sequence data (arabidopsis, rice,castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomicLEADS version (GANG) was employed. This tool allows most accurateclustering of ESTs and mRNA sequences on genome, and predicts genestructure as well as alternative splicing events and anti-sensetranscription.

For organisms with no available full genome sequence data, “expressedLEADS” clustering software was applied.

Gene annotation—Predicted genes and proteins were annotated as follows:

Sequences blast search [blast (dot) ncbi (dot) nlm (dot) nih (dot)gov/Blast (dot) cgi] against all plant UniProt [uniprot (dot) org/] wasperformed. Open reading frames of each putative transcript were analyzedand longest ORF with higher number of homologues was selected aspredicted protein of the transcript. The predicted proteins wereanalyzed by InterPro [ebi (dot) ac (dot) uk/interpro/].

Blast against proteins from AraCyc and ENZYME databases was used to mapthe predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using blastalgorithm [ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] tovalidate the accuracy of the predicted protein sequence, and forefficient detection of orthologs.

Gene expression profiling—Several data sources were exploited for geneexpression profiling, namely microarray data and digital expressionprofile (see below). According to gene expression profile, a correlationanalysis was performed to identify genes which are co-regulated underdifferent development stages and environmental conditions and associatedwith different phenotypes.

Publicly available microarray datasets were downloaded from TAIR andNCBI GEO sites, renormalized, and integrated into the database.Expression profiling is one of the most important resource data foridentifying genes important for yield.

A digital expression profile summary was compiled for each clusteraccording to all keywords included in the sequence records comprisingthe cluster. Digital expression, also known as electronic Northern Blot,is a tool that displays virtual expression profile based on the ESTsequences forming the gene cluster. The tool provides the expressionprofile of a cluster in terms of plant anatomy (e.g., the tissue/organin which the gene is expressed), developmental stage (the developmentalstages at which a gene can be found) and profile of treatment (providesthe physiological conditions under which a gene is expressed such asdrought, cold, pathogen infection, etc). Given a random distribution ofESTs in the different clusters, the digital expression provides aprobability value that describes the probability of a cluster having atotal of N ESTs to contain X ESTs from a certain collection oflibraries. For the probability calculations, the following is taken intoconsideration: a) the number of ESTs in the cluster, b) the number ofESTs of the implicated and related libraries, c) the overall number ofESTs available representing the species. Thereby clusters with lowprobability values are highly enriched with ESTs from the group oflibraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy etal., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego,Calif. Transcriptomeic analysis, based on relative EST abundance in datawas performed by 454 pyrosequencing of cDNA representing mRNA of themelon fruit. Fourteen double strand cDNA samples obtained from twogenotypes, two fruit tissues (flesh and rind) and four developmentalstages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences)of non-normalized and purified cDNA samples yielded 1,150,657 expressedsequence tags (ESTs) that assembled into 67,477 unigenes (32,357singletons and 35,120 contigs). Analysis of the data obtained againstthe Cucurbit Genomics Database [icugi (dot) org/] confirmed the accuracyof the sequencing and assembly. Expression patterns of selected genesfitted well their qRT-PCR data.

Overall, 95 genes were identified to have a major impact on nitrogen useefficiency, fertilizer use efficiency, yield (e.g., seed yield, oilyield, grain quantity and/or quality), growth rate, vigor, biomass, oilcontent, fiber yield, fiber quality, fiber length, abiotic stresstolerance and/or water use efficiency when expression thereof isincreased in plants. The identified genes, their curated polynucleotideand polypeptide sequences, as well as their updated sequences accordingto GenBank database are summarized in Table 1, hereinbelow.

TABLE 1 Identified polynucleotides for increasing nitrogen useefficiency, fertilizer use efficiency, yield, growth rate, vigor,biomass, oil content, fiber yield, fiber quality, fiber length, abioticstress tolerance and/or water use efficiency of a plant Polyn. SEQPolyp. SEQ Gene Name Cluster Name Organism ID NO: ID NO: WNU1foxtail_millet|11v3| foxtail_millet 1 202 PHY7SI037360M WNU2sorghum|12v1|SB02G035890 sorghum 2 203 WNU3 sorghum|12v1|SB03G037360sorghum 3 204 WNU5 arabidopsis|10v1|AT1G76520 arabidopsis 4 205 WNU6arabidopsis|10v1|AT2G41310 arabidopsis 5 206 WNU7arabidopsis|10v1|AT5G64550 arabidopsis 6 207 WNU8 barley|10v2|AJ234434barley 7 208 WNU9 barley|10v2|AJ467179 barley 8 209 WNU10barley|10v2|AV835513 barley 9 210 WNU11 barley|10v2|BE195092 barley 10211 WNU12 barley|10v2|BE216643 barley 11 212 WNU13 barley|10v2|BE412689barley 12 213 WNU14 barley|10v2|BE412739 barley 13 214 WNU15barley|10v2|BE413497 barley 14 215 WNU16 barley|10v2|BE413575 barley 15216 WNU17 barley|10v2|BE420881 barley 16 217 WNU18 barley|10v2|BE421902barley 17 218 WNU19 barley|10v2|BE438925 barley 18 219 WNU20barley|10v2|BE455654 barley 19 220 WNU21 barley|10v2|BF260947 barley 20221 WNU22 barley|10v2|BF263283 barley 21 222 WNU23 barley|10v2|BF617606barley 22 223 WNU25 barley|10v2|BF623217 barley 23 224 WNU26barley|10v2|BF623477 barley 24 225 WNU27 barley|10v2|BF626052 barley 25226 WNU28 barley|10v2|BI778944 barley 26 227 WNU29 barley|10v2|BI947135barley 27 228 WNU30 barley|10v2|BI947599 barley 28 229 WNU31barley|10v2|BI950946 barley 29 230 WNU32 barley|10v2|BJ464604 barley 30231 WNU33 barley|10v2|BQ458968 barley 31 232 WNU34 barley|12v1|AV835440barley 32 233 WNU35 barley|12v1|BE196061 barley 33 234 WNU36barley|12v1|BE412448 barley 34 235 WNU37 barley|12v1|BE455619 barley 35236 WNU38 barley|12v1|BF257030 barley 36 237 WNU39 barley|12v1|BF260630barley 37 238 WNU40 barley|12v1|BF622946 barley 38 239 WNU41barley|12v1|BI957485 barley 39 240 WNU42 barley|12v1|BI958608 barley 40241 WNU43 barley|12v1|BM370758 barley 41 242 WNU44 barley|12v1|BM376567barley 42 243 WNU45 brachypodium|12v1|BRADI1G03390 brachypodium 43 244WNU46 brachypodium|12v1|BRADI1G59650 brachypodium 44 245 WNU47brachypodium|12v1|BRADI1G67410 brachypodium 45 246 WNU49brachypodium|12v1|BRADI2G19790 brachypodium 46 247 WNU50brachypodium|12v1|BRADI2G36910 brachypodium 47 248 WNU51brachypodium|12v1|BRADI2G45450 brachypodium 48 249 WNU52brachypodium|12v1|BRADI2G54400 brachypodium 49 250 WNU53foxtail_millet|11v3|EC612057 foxtail_millet 50 251 WNU54foxtail_millet|11v3|EC613339 foxtail_millet 51 252 WNU55foxtail_millet|11v3|EC613521 foxtail_millet 52 253 WNU56foxtail_millet|11v3|EC613638 foxtail_millet 53 254 WNU57foxtail_millet|11v3|EC613764 foxtail_millet 54 255 WNU58foxtail_millet|11v3|PHY7SI002694M foxtail_millet 55 256 WNU60foxtail_millet|11v3|PHY7SI004807M foxtail_millet 56 257 WNU61foxtail_millet|11v3|PHY7SI006776M foxtail_millet 57 258 WNU63foxtail_millet|11v3|PHY7SI010781M foxtail_millet 58 259 WNU65foxtail_millet|11v3|PHY7SI011960M foxtail_millet 59 260 WNU66foxtail_millet|11v3|PHY7SI016756M foxtail_millet 60 261 WNU67foxtail_millet|11v3|PHY7SI016983M foxtail_millet 61 262 WNU68foxtail_millet|11v3|PHY7SI018426M foxtail_millet 62 263 WNU69foxtail_millet|11v3|PHY7SI020976M foxtail_millet 63 264 WNU70foxtail_millet|11v3|PHY7SI021004M foxtail_millet 64 265 WNU71foxtail_millet|11v3|PHY7SI029993M foxtail_millet 65 266 WNU72foxtail_millet|11v3|PHY7SI035252M foxtail_millet 66 267 WNU73foxtail_millet|11v3|PHY7SI035778M foxtail_millet 67 268 WNU74foxtail_millet|11v3|PHY7SI036478M foxtail_millet 68 269 WNU75maize|10v1|AI629766 maize 69 270 WNU76 maize|10v1|AI947957 maize 70 271WNU77 maize|10v1|AI948358 maize 71 272 WNU78 maize|10v1|AI966985 maize72 273 WNU80 maize|10v1|AW053253 maize 73 274 WNU81 maize|10v1|AW225099maize 74 275 WNU82 maize|10v1|BI643478 maize 75 276 WNU83maize|10v1|BM379051 maize 76 277 WNU85 rice|11v1|BI804924 rice 77 278WNU87 rice|11v1|OSU77294 rice 78 279 WNU90 sorghum|12v1|EVOER2582sorghum 79 280 WNU91 sorghum|12v1|SB01G005000 sorghum 80 281 WNU92sorghum|12v1|SB01G028940 sorghum 81 282 WNU93 sorghum|12v1|SB03G008180sorghum 82 283 WNU94 sorghum|12v1|SB03G034010 sorghum 83 284 WNU96sorghum|12v1|SB04G004680 sorghum 84 285 WNU97 sorghum|12v1|SB04G009980sorghum 85 286 WNU98 sorghum|12v1|SB04G026160 sorghum 86 287 WNU99sorghum|12v1|SB09G000320 sorghum 87 288 WNU100sorghum|12v1|SB09G018070P1 sorghum 88 289 WNU101sorghum|12v1|SB10G007680 sorghum 89 290 WNU102 wheat|10v2|BE415420 wheat90 291 WNU103 wheat|12v1|BM140581 wheat 91 292 WNU104maize|10v1|AW308714 maize 92 293 WNU105 sorghum|12v1|SB02G031390 sorghum93 294 WNU103_H11 rice|11v1|AA749605 rice 94 295 WNU22_H1wheat|12v3|BE585479 wheat 95 296 WNU1 foxtail_millet|11v3|PHY7SI037360Mfoxtail_millet 96 297 WNU10 barley|10v2|AV835513 barley 97 298 WNU12barley|10v2|BE216643 barley 98 299 WNU22 barley|10v2|BF263283 barley 99300 WNU36 barley|12v1|BE412448 barley 100 301 WNU41 barley|12v1|BI957485barley 101 302 WNU42 barley|12v1|BI958608 barley 102 241 WNU45brachypodium|12v1|BRADI1G03390 brachypodium 103 244 WNU51brachypodium|12v1|BRADI2G45450 brachypodium 104 249 WNU60foxtail_millet|11v3|PHY7SI004807M foxtail millet 105 257 WNU61foxtail_millet|11v3|PHY7SI006776M foxtail millet 106 303 WNU65foxtail_millet|11v3|PHY7SI011960M foxtail millet 107 260 WNU67foxtail_millet|11v3|PHY7SI016983M foxtail millet 108 262 WNU90sorghum|12v1|EVOER2582 sorghum 109 304 WNU103_H11 rice|11v1|AA749605rice 110 295 WNU22_H1 wheat|12v3|BE585479 wheat 111 296 WNU1foxtail_millet|11v3|PHY7SI037360M foxtail millet 112 202 WNU2sorghum|12v1|SB02G035890 sorghum 113 203 WNU3 sorghum|12v1|SB03G037360sorghum 114 204 WNU5 arabidopsis|10v1|AT1G76520 arabidopsis 115 205 WNU6arabidopsis|10v1|AT2G41310 arabidopsis 116 206 WNU7arabidopsis|10v1|AT5G64550 arabidopsis 117 207 WNU8 barley|10v2|AJ234434barley 118 208 WNU9 barley|10v2|AJ467179 barley 119 209 WNU11barley|10v2|BE195092 barley 120 211 WNU12 barley|10v2|BE216643 barley121 305 WNU13 barley|10v2|BE412689 barley 122 213 WNU14barley|10v2|BE412739 barley 123 306 WNU15 barley|10v2|BE413497 barley124 215 WNU16 barley|10v2|BE413575 barley 125 216 WNU17barley|10v2|BE420881 barley 126 217 WNU18 barley|10v2|BE421902 barley127 218 WNU19 barley|10v2|BE438925 barley 128 219 WNU20barley|10v2|BE455654 barley 129 220 WNU21 barley|10v2|BF260947 barley130 307 WNU23 barley|10v2|BF617606 barley 131 223 WNU25barley|10v2|BF623217 barley 132 224 WNU26 barley|10v2|BF623477 barley133 225 WNU27 barley|10v2|BF626052 barley 134 308 WNU28barley|10v2|BI778944 barley 135 309 WNU29 barley|10v2|BI947135 barley136 228 WNU30 barley|10v2|BI947599 barley 137 229 WNU31barley|10v2|BI950946 barley 138 230 WNU32 barley|10v2|BJ464604 barley139 231 WNU33 barley|10v2|BQ458968 barley 140 232 WNU34barley|12v1|AV835440 barley 141 310 WNU35 barley|12v1|BE196061 barley142 234 WNU37 barley|12v1|BE455619 barley 143 311 WNU38barley|12v1|BF257030 barley 144 237 WNU39 barley|12v1|BF260630 barley145 238 WNU40 barley|12v1|BF622946 barley 146 239 WNU41barley|12v1|BI957485 barley 147 312 WNU42 barley|12v1|BI958608 barley148 241 WNU43 barley|12v1|BM370758 barley 149 242 WNU44barley|12v1|BM376567 barley 150 243 WNU45 brachypodium|12v1|BRADI1G03390brachypodium 151 244 WNU46 brachypodium|12v1|BRADI1G59650 brachypodium152 245 WNU47 brachypodium|12v1|BRADI1G67410 brachypodium 153 246 WNU49brachypodium|12v1|BRADI2G19790 brachypodium 154 247 WNU50brachypodium|12v1|BRADI2G36910 brachypodium 155 313 WNU51brachypodium|12v1|BRADI2G45450 brachypodium 156 314 WNU52brachypodium|12v1|BRADI2G54400 brachypodium 157 250 WNU54foxtail_millet|11v3|EC613339 foxtail_millet 158 252 WNU55foxtail_millet|11v3|EC613521 foxtail_millet 159 253 WNU56foxtail_millet|11v3|EC613638 foxtail_millet 160 254 WNU57foxtail_millet|11v3|EC613764 foxtail_millet 161 255 WNU58foxtail_millet|11v3|PHY7SI002694M foxtail_millet 162 256 WNU60foxtail_millet|11v3|PHY7SI004807M foxtail_millet 163 257 WNU61foxtail_millet|11v3|PHY7SI006776M foxtail_millet 164 315 WNU63foxtail_millet|11v3|PHY7SI010781M foxtail_millet 165 316 WNU65foxtail_millet|11v3|PHY7SI011960M foxtail_millet 166 260 WNU66foxtail_millet|11v3|PHY7SI016756M foxtail_millet 167 261 WNU67foxtail_millet|11v3|PHY7SI016983M foxtail_millet 168 262 WNU68foxtail_millet|11v3|PHY7SI018426M foxtail_millet 169 263 WNU69foxtail_millet|11v3|PHY7SI020976M foxtail_millet 170 264 WNU70foxtail_millet|11v3|PHY7SI021004M foxtail_millet 171 265 WNU71foxtail_millet|11v3|PHY7SI029993M foxtail_millet 172 266 WNU72foxtail_millet|11v3|PHY7SI035252M foxtail_millet 173 267 WNU73foxtail_millet|11v3|PHY7SI035778M foxtail_millet 174 268 WNU74foxtail_millet|11v3|PHY7SI036478M foxtail_millet 175 317 WNU75maize|10v1|AI629766 maize 176 270 WNU76 maize|10v1|AI947957 maize 177318 WNU77 maize|10v1|AI948358 maize 178 272 WNU78 maize|10v1|AI966985maize 179 319 WNU80 maize|10v1|AW053253 maize 180 320 WNU81maize|10v1|AW225099 maize 181 321 WNU82 maize|10v1|BI643478 maize 182322 WNU83 maize|10v1|BM379051 maize 183 323 WNU85 rice|11v1|BI804924rice 184 324 WNU87 rice|11v1|OSU77294 rice 185 279 WNU90sorghum|12v1|EVOER2582 sorghum 186 280 WNU91 sorghum|12 v1|SB01G005000sorghum 187 281 WNU92 sorghum|12v1|SB01G028940 sorghum 188 282 WNU93sorghum|12v1|SB03G008180 sorghum 189 283 WNU94 sorghum|12v1|SB03G034010sorghum 190 284 WNU96 sorghum|12v1|SB04G004680 sorghum 191 285 WNU97sorghum|12v1|SB04G009980 sorghum 192 286 WNU98 sorghum|12v1|SB04G026160sorghum 193 325 WNU99 sorghum|12v1|SB09G000320 sorghum 194 326 WNU100sorghum|12v1|SB09G018070P1 sorghum 195 289 WNU101sorghum|12v1|SB10G007680 sorghum 196 290 WNU102 wheat|10v2|BE415420wheat 197 291 WNU104 maize|10v1|AW308714 maize 198 293 WNU105sorghum|12v1|SB02G031390 sorghum 199 294 WNU103_H11 rice|11v1|AA749605rice 200 295 WNU22_H1 wheat|12v3|BE585479 wheat 201 327 Table 1.“Polyp.” = polypeptide; “Polyn.”—Polynucleotide.

Example 2 Identification of Homologous Sequences that Increase NitrogenUse Efficiency, Fertilizer Use Efficiency, Yield, Growth Rate, Vigor,Biomass, Oil Content, Abiotic Stress Tolerance and/or Water UseEfficiency in Plants

The concepts of orthology and paralogy have recently been applied tofunctional characterizations and classifications on the scale ofwhole-genome comparisons. Orthologs and paralogs constitute two majortypes of homologs: The first evolved from a common ancestor byspecialization, and the latter is related by duplication events. It isassumed that paralogs arising from ancient duplication events are likelyto have diverged in function while true orthologs are more likely toretain identical function over evolutionary time.

To further investigate and identify putative orthologs of the genesaffecting nitrogen use efficiency, fertilizer use efficiency, yield(e.g., seed yield, oil yield, grain quantity and/or quality), growthrate, vigor, biomass, oil content, abiotic stress tolerance and/or wateruse efficiency, all sequences were aligned using the BLAST (/Basic LocalAlignment Search Tool/). Sequences sufficiently similar were tentativelygrouped. These putative orthologs were further organized under aPhylogram—a branching diagram (tree) assumed to be a representation ofthe evolutionary relationships among the biological taxa. Putativeortholog groups were analyzed as to their agreement with the phylogramand in cases of disagreements these ortholog groups were brokenaccordingly. Expression data was analyzed and the EST libraries wereclassified using a fixed vocabulary of custom terms such asdevelopmental stages (e.g., genes showing similar expression profilethrough development with up regulation at specific stage, such as at theseed filling stage) and/or plant organ (e.g., genes showing similarexpression profile across their organs with up regulation at specificorgans such as seed). The annotations from all the ESTs clustered to agene were analyzed statistically by comparing their frequency in thecluster versus their abundance in the database, allowing theconstruction of a numeric and graphic expression profile of that gene,which is termed “digital expression”. The rationale of using these twocomplementary methods with methods of phenotypic association studies ofQTLs, SNPs and phenotype expression correlation is based on theassumption that true orthologs are likely to retain identical functionover evolutionary time. These methods provide different sets ofindications on function similarities between two homologous genes,similarities in the sequence level—identical amino acids in the proteindomains and similarity in expression profiles.

The search and identification of homologous genes involves the screeningof sequence information available, for example, in public databases,which include but are not limited to the DNA Database of Japan (DDBJ),Genbank, and the European Molecular Biology Laboratory Nucleic AcidSequence Database (EMBL) or versions thereof or the MIPS database. Anumber of different search algorithms have been developed, including butnot limited to the suite of programs referred to as BLAST programs.There are five implementations of BLAST, three designed for nucleotidesequence queries (BLASTN, BLASTX, and TBLASTX) and two designed forprotein sequence queries (BLASTP and TBLASTN) (Coulson, Trends inBiotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543,1997). Such methods involve alignment and comparison of sequences. TheBLAST algorithm calculates percent sequence identity and performs astatistical analysis of the similarity between the two sequences. Thesoftware for performing BLAST analysis is publicly available through theNational Centre for Biotechnology Information. Other such software oralgorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm ofNeedleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find thealignment of two complete sequences that maximizes the number of matchesand minimizes the number of gaps.

The homologous genes may belong to the same gene family. The analysis ofa gene family may be carried out using sequence similarity analysis. Toperform this analysis one may use standard programs for multiplealignments e.g. Clustal W. A neighbor-joining tree of the proteinshomologous to the genes of some embodiments of the invention may be usedto provide an overview of structural and ancestral relationships.Sequence identity may be calculated using an alignment program asdescribed above. It is expected that other plants will carry a similarfunctional gene (orthologue) or a family of similar genes and thosegenes will provide the same preferred phenotype as the genes presentedhere. Advantageously, these family members may be useful in the methodsof some embodiments of the invention. Example of other plants include,but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsisthaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassicanapus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum(Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus),Tomato (Lycopersicon esculentum) and Wheat (Triticum aestivum)

The above-mentioned analyses for sequence homology is preferably carriedout on a full-length sequence, but may also be based on a comparison ofcertain regions such as conserved domains. The identification of suchdomains, would also be well within the realm of the person skilled inthe art and would involve, for example, a computer readable format ofthe nucleic acids of some embodiments of the invention, the use ofalignment software programs and the use of publicly availableinformation on protein domains, conserved motifs and boxes. Thisinformation is available in the PRODOM (biochem (dot) ucl (dot) ac (dot)uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PIR (pir (dot)Georgetown (dot) edu/) or Pfam (sanger (dot) ac (dot) uk/Software/Pfam/)database. Sequence analysis programs designed for motif searching may beused for identification of fragments, regions and conserved domains asmentioned above. Preferred computer programs include, but are notlimited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the homologous sequences providedherein to find similar sequences in other species and other organisms.Homologues of a protein encompass, peptides, oligopeptides,polypeptides, proteins and enzymes having amino acid substitutions,deletions and/or insertions relative to the unmodified protein inquestion and having similar biological and functional activity as theunmodified protein from which they are derived. To produce suchhomologues, amino acids of the protein may be replaced by other aminoacids having similar properties (conservative changes, such as similarhydrophobicity, hydrophilicity, antigenicity, propensity to form orbreak a-helical structures or 3-sheet structures). Conservativesubstitution Tables are well known in the art [see for example Creighton(1984) Proteins. W.H. Freeman and Company]. Homologues of a nucleic acidencompass nucleic acids having nucleotide substitutions, deletionsand/or insertions relative to the unmodified nucleic acid in questionand having similar biological and functional activity as the unmodifiednucleic acid from which they are derived.

Polynucleotides and polypeptides with significant homology to theidentified genes described in Table 1 (Example 1 above) were identifiedfrom the databases using BLAST software with the Blastp and tBlastnalgorithms as filters for the first stage, and the needle (EMBOSSpackage) or Frame+ algorithm alignment for the second stage. Localidentity (Blast alignments) was defined with a very permissivecutoff—60% Identity on a span of 60% of the sequences lengths because itis used only as a filter for the global alignment stage. The defaultfiltering of the Blast package was not utilized (by setting theparameter “−F F”).

In the second stage, homologs were defined based on a global identity ofat least 80% to the core gene polypeptide sequence.

Two distinct forms for finding the optimal global alignment for proteinor nucleotide sequences were used in this application:

1. Between two proteins (following the blastp filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modifiedparameters: gapopen=8 gapextend=2. The rest of the parameters wereunchanged from the default options described hereinabove.

2. Between a protein sequence and a nucleotide sequence (following thetblastn filter):

GenCore 6.0 OneModel application utilizing the Frame+ algorithm with thefollowing parameters: model=frame+_p2n.model mode=qglobal -q=protein.sequence -db=nucleotide.sequence. The rest of the parameters wereunchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 202-327 and the querypolynucleotides were SEQ ID NOs: 1-201, and the identified orthologousand homologous sequences having at least 80% global sequence identityare provided in Table 2, below. These homologous (e.g., orthologues)genes are expected to increase plant's nitrogen use efficiency (NUE),yield, seed yield, oil yield, oil content, growth rate, fiber yield,fiber quality, photosynthetic capacity, biomass, vigor, and/or abioticstress tolerance (ABST).

TABLE 2 Homologues (e.g., orthologues) of the identifiedgenes/polypeptides for increasing nitrogen use efficiency, fertilizeruse efficiency, yield, seed yield, growth rate, vigor, biomass, oilcontent, fiber yield, fiber quality, fiber length, abiotic stresstolerance and/or water use efficiency of a plant Hom. Polyn. Polyp. toSEQ SEQ SEQ % ID ID ID glob. Hom. Name Organism/cluster name NO: NO: NO:Ident. Algor. WNU2_H1 maize|10v1|CD434995_T1 328 4063 203 87.9glotblastn WNU2_H2 brachypodium|12v1|BRADI1G25187_T1 329 4064 203 84.3glotblastn WNU2_H3 rice|11v1|AU066228 330 4065 203 84.3 globlastpWNU2_H4 wheat|12v3|BE445814 331 4066 203 82.2 glotblastn WNU2_H5brachypodium|12v1|BRADI1G25200_P1 332 4067 203 81.9 globlastp WNU2_H6rye|12v1|DRR001012.123320 333 4068 203 80 globlastp WNU3_H1sugarcane|10v1|CA070079 334 4069 204 98.3 globlastp WNU3_H2maize|10v1|AW066630_P1 335 4070 204 96.7 globlastp WNU3_H3maize|10v1|AW360637_P1 336 4071 204 96.7 globlastp WNU3_H4foxtail_millet|11v3|PHY7SI001983M_P1 337 4072 204 96.4 globlastp WNU3_H5foxtail_millet|11v3|SICRP017558_P1 338 4072 204 96.4 globlastp WNU3_H34switchgrass|12v1|DN146112_P1 339 4073 204 95.6 globlastp WNU3_H6switchgrass|gb167|DN146112 340 4073 204 95.6 globlastp WNU3_H7rice|11v1|AB117888 341 4074 204 92.8 glotblastn WNU3_H8rice|11v1|CF954746 342 4075 204 92.3 globlastp WNU3_H9brachypodium|12v1|BRADI2G52660_P1 343 4076 204 91.7 globlastp WNU3_H35switchgrass|12v1|DN141545_P1 344 4077 204 91.1 globlastp WNU3_H10switchgrass|gb167|DN141545 345 4077 204 91.1 globlastp WNU3_H11foxtail_millet|11v3|PHY7SI022489M_P1 346 4078 204 90.9 globlastpWNU3_H12 maize|10v1|AI941668_P1 347 4079 204 90.9 globlastp WNU3_H13barley|12v1|BI950534_P1 348 4080 204 90.6 globlastp WNU3_H14barley|12v1|HV12v1CRP158093_P1 349 4080 204 90.6 globlastp WNU3_H15sorghum|12v1|SB09G024250 350 4081 204 90.6 globlastp WNU3_H16sugarcane|10v1|CA071700 351 4082 204 90.6 globlastp WNU3_H17rye|12v1|DRR001012.100986 352 4083 204 90.3 globlastp WNU3_H18rye|12v1|DRR001012.135608 353 4083 204 90.3 globlastp WNU3_H19wheat|12v3|BE400917 354 4084 204 90.1 globlastp WNU3_H20cenchrus|gb166|EB652730_P1 355 4085 204 90 globlastp WNU3_H21maize|10v1|AI372366_P1 356 4086 204 90 globlastp WNU3_H22oat|11v1|GR345828_P1 357 4087 204 89.8 globlastp WNU3_H23rice|11v1|BM419281 358 4088 204 89.2 globlastp WNU3_H24barley|12v1|BG299553_P1 359 4089 204 88.6 globlastp WNU3_H25brachypodium|12v1|BRADI2G21250_P1 360 4090 204 88.6 globlastp WNU3_H26wheat|12v3|BE401506 361 4091 204 88.6 globlastp WNU3_H27oat|11v1|CN819547_P1 362 4092 204 88.1 globlastp WNU3_H28rye|12v1|DRR001012.109054 363 4093 204 87.5 globlastp WNU3_H29rye|12v1|DRR001012.134389 364 4093 204 87.5 globlastp WNU3_H30pseudoroegneria|gb167|FF340600 365 4094 204 86.46 glotblastn WNU3_H31banana|12v1|MAGEN2012002795_P1 366 4095 204 84.3 globlastp WNU3_H32barley|12v1|AV910390_P1 367 4096 204 84.1 globlastp WNU3_H33banana|12v1|FL651443_P1 368 4097 204 83 globlastp WNU5_H1arabidopsis_lyrata|09v1|TMPLAT1G76520T1_P1 369 205 205 100 globlastpWNU5_H2 arabidopsis_lyrata|09v1|JGIAL007927_P1 370 4098 205 98 globlastpWNU5_H3 b_rapa|11v1|BRA015736_P1 371 4099 205 89.2 globlastp WNU5_H4thellungiella_halophilum|11v1|DN779143 372 4100 205 88.7 globlastpWNU5_H5 b_rapa|11v1|EV104238_P1 373 4101 205 87.4 globlastp WNU5_H6canola|11v1|EV104238_P1 374 4102 205 86.9 globlastp WNU5_H7radish|gb164|EX756195 375 4103 205 86.2 globlastp WNU5_H8b_rapa|11v1|EV223158_P1 376 4104 205 84.1 globlastp WNU5_H9radish|gb164|EX895073 377 4105 205 81.93 glotblastn WNU6_H1arabidopsis_lyrata|09v1|JGIAL015429_P1 378 4106 206 94.7 globlastpWNU6_H2 thellungiella_parvulum|11v1|EPCRP016603 379 4107 206 85.5globlastp WNU6_H3 b_rapa|11v1|EE568935_P1 380 4108 206 85 globlastpWNU6_H4 canola|11v1|SRR329661.151100_P1 381 4109 206 83.7 globlastpWNU6_H5 thellungiella_halophilum|11v1|EHJGI11001006 382 4110 206 83.6globlastp WNU6_H6 canola|11v1|EE568935_T1 383 4111 206 83.26 glotblastnWNU6_H7 b_rapa|11v1|ES912747_P1 384 4112 206 83.2 globlastp WNU6_H8canola|11v1|ES912747_P1 385 4113 206 83.2 globlastp WNU6_H9canola|11v1|EV016118_P1 386 4114 206 82.3 globlastp WNU6_H10radish|gb164|FD951571 387 4115 206 82.3 globlastp WNU7_H1thellungiella_parvulum|11v1|BY830354 388 4116 207 92.6 globlastp WNU7_H2arabidopsis_lyrata|09v1|JGIAL031129_P1 389 4117 207 91.5 globlastpWNU7_H3 thellungiella_halophilum|11v1|BY830354 390 4118 207 90 globlastpWNU7_H4 b_rapa|11v1|CO749935_P1 391 4119 207 85.7 globlastp WNU8_H1rye|12v1|BE495472 392 208 208 100 globlastp WNU8_H2 rye|12v1|BE587609393 208 208 100 globlastp WNU8_H3 rye|12v1|DRR001012.100384 394 208 208100 globlastp WNU8_H4 rye|12v1|DRR001012.101919 395 208 208 100globlastp WNU8_H5 rye|12v1|DRR001012.103485 396 208 208 100 globlastpWNU8_H6 rye|12v1|DRR001012.104321 397 208 208 100 globlastp WNU8_H7rye|12v1|DRR001012.112767 398 208 208 100 globlastp WNU8_H8rye|12v1|DRR001012.11902 399 208 208 100 globlastp WNU8_H9rye|12v1|DRR001012.122152 400 208 208 100 globlastp WNU8_H10rye|12v1|DRR001012.137813 401 4120 208 100 glotblastn WNU8_H11rye|12v1|DRR001012.158922 402 208 208 100 globlastp WNU8_H12rye|12v1|DRR001012.201080 403 208 208 100 globlastp WNU8_H13rye|12v1|DRR001012.213076 404 208 208 100 globlastp WNU8_H14rye|12v1|DRR001012.848887 405 208 208 100 globlastp WNU8_H15wheat|12v3|BE398175 406 208 208 100 globlastp WNU8_H16wheat|12v3|BE398223 407 208 208 100 globlastp WNU8_H17wheat|12v3|BE398691 408 208 208 100 globlastp WNU8_H18wheat|12v3|BE399072 409 208 208 100 globlastp WNU8_H19wheat|12v3|BE399356 410 208 208 100 globlastp WNU8_H20wheat|12v3|BE399404 411 208 208 100 globlastp WNU8_H21wheat|12v3|BE406548 412 208 208 100 globlastp WNU8_H22wheat|12v3|BE413915 413 208 208 100 globlastp WNU8_H23wheat|12v3|BE415959 414 208 208 100 globlastp WNU8_H24wheat|12v3|WHTTEF1X 415 208 208 100 globlastp WNU8_H25wheat|12v3|BE398307 416 4121 208 99.8 globlastp WNU8_H26rye|12v1|DRR001012.270934 417 4122 208 99.78 glotblastn WNU8_H27wheat|12v3|BE406853 418 4123 208 99.78 glotblastn WNU8_H28wheat|12v3|BE403574 419 4124 208 99.6 globlastp WNU8_H29rye|12v1|DRR001012.172851 420 4125 208 99.33 glotblastn WNU8_H30rye|12v1|EU153587 421 4126 208 99.33 glotblastn WNU8_H31wheat|12v3|BE398292 422 4127 208 99.3 globlastp WNU8_H32wheat|12v3|BE398872 423 4127 208 99.3 globlastp WNU8_H33wheat|12v3|BE400214 424 4127 208 99.3 globlastp WNU8_H34wheat|12v3|BE407014 425 4127 208 99.3 globlastp WNU8_H35wheat|12v3|BE590945 426 4128 208 99.3 globlastp WNU8_H36rye|12v1|DRR001012.118155 427 4129 208 99.1 globlastp WNU8_H37wheat|12v3|BE398530 428 4130 208 99.1 globlastp WNU8_H38oat|11v1|CN815245_P1 429 4131 208 98.9 globlastp WNU8_H39rye|12v1|DRR001012.106186 430 4132 208 98.9 globlastp WNU8_H40oat|11v1|GO583634_P1 431 4133 208 98.7 globlastp WNU8_H41oat|11v1|GO585413_P1 432 4133 208 98.7 globlastp WNU8_H42oat|11v1|GO586258_P1 433 4133 208 98.7 globlastp WNU8_H43brachypodium|12v1|BRADI0012S00200T2_P1 434 4134 208 98.2 globlastpWNU8_H44 brachypodium|12v1|BRADI1G06860T2_P1 435 4134 208 98.2 globlastpWNU8_H45 brachypodium|12v1|BRADI1G06860_P1 436 4134 208 98.2 globlastpWNU8_H46 brachypodium|12v1|BRADI1G06870_P1 437 4134 208 98.2 globlastpWNU8_H47 brachypodium|12v1|BRADI4G12750T2_P1 438 4134 208 98.2 globlastpWNU8_H48 rye|12v1|DRR001012.341337 439 4135 208 97.8 globlastp WNU8_H49brachypodium|12v1|BDPRD12V1008469_T1 440 4136 208 97.32 glotblastnWNU8_H50 brachypodium|12v1|BDCRP12V1052162_P1 441 4137 208 97.3globlastp WNU8_H51 pigeonpea|11v1|GR464509_P1 442 4138 208 97.1globlastp WNU8_H52 cowpea|12v1|FC456669_P1 443 4139 208 96.9 globlastpWNU8_H53 peanut|10v1|CD038354_P1 444 4140 208 96.9 globlastp WNU8_H54pigeonpea|11v1|GW359244_P1 445 4141 208 96.9 globlastp WNU8_H55soybean|11v1|GLYMA16G07350 446 4142 208 96.9 globlastp WNU8_H55soybean|12v1|GLYMA16G07350_P1 447 4142 208 96.9 globlastp WNU8_H56trigonella|11v1|SRR066194X103703 448 4143 208 96.9 globlastp WNU8_H57wheat|12v3|BE352631 449 4144 208 96.9 globlastp WNU8_H58wheat|12v3|BE398718 450 4144 208 96.9 globlastp WNU8_H59wheat|12v3|BE418288 451 4144 208 96.9 globlastp WNU8_H60wheat|12v3|BE419649 452 4144 208 96.9 globlastp WNU8_H61wheat|12v3|BE424307 453 4144 208 96.9 globlastp WNU8_H62wheat|12v3|BF200050 454 4144 208 96.9 globlastp WNU8_H63brachypodium|12v1|DV470157_T1 455 4145 208 96.88 glotblastn WNU8_H64brachypodium|12v1|DV475966_P1 456 4146 208 96.7 globlastp WNU8_H1000bean|12v2|CA898053_P1 457 4147 208 96.6 globlastp WNU8_H65apple|11v1|CN489484_P1 458 4148 208 96.6 globlastp WNU8_H66bean|12v1|CA898053 459 4147 208 96.6 globlastp WNU8_H67bean|12v1|FG232244 460 4147 208 96.6 globlastp WNU8_H68cowpea|12v1|FF395866_P1 461 4149 208 96.6 globlastp WNU8_H69humulus|11v1|ES654484_P1 462 4150 208 96.6 globlastp WNU8_H70humulus|11v1|ES655751_P1 463 4150 208 96.6 globlastp WNU8_H71humulus|11v1|EX521150_P1 464 4150 208 96.6 globlastp WNU8_H72maize|10v1|AI586401_P1 465 4151 208 96.6 globlastp WNU8_H73maize|10v1|T14798_P1 466 4151 208 96.6 globlastp WNU8_H74millet|10v1|CD724499_P1 467 4152 208 96.6 globlastp WNU8_H75millet|10v1|CD725344_P1 468 4152 208 96.6 globlastp WNU8_H76millet|10v1|CD725865_P1 469 4152 208 96.6 globlastp WNU8_H77millet|10v1|CD726323_P1 470 4152 208 96.6 globlastp WNU8_H78millet|10v1|CD726441_P1 471 4152 208 96.6 globlastp WNU8_H79millet|10v1|EVO454PM000499_P1 472 4152 208 96.6 globlastp WNU8_H80millet|10v1|EVO454PM000661_P1 473 4152 208 96.6 globlastp WNU8_H81millet|10v1|EVO454PM001271_P1 474 4152 208 96.6 globlastp WNU8_H82millet|10v1|EVO454PM001383_P1 475 4152 208 96.6 globlastp WNU8_H83millet|10v1|EVO454PM002183_P1 476 4152 208 96.6 globlastp WNU8_H84millet|10v1|EVO454PM003597_P1 477 4152 208 96.6 globlastp WNU8_H85millet|10v1|EVO454PM005551_P1 478 4152 208 96.6 globlastp WNU8_H86millet|10v1|EVO454PM015011_P1 479 4152 208 96.6 globlastp WNU8_H87millet|10v1|EVO454PM032398_P1 480 4152 208 96.6 globlastp WNU8_H88pigeonpea|11v1|EE604711_P1 481 4153 208 96.6 globlastp WNU8_H89rice|11v1|AA749924 482 4154 208 96.6 globlastp WNU8_H90rice|11v1|AA751062 483 4154 208 96.6 globlastp WNU8_H91rice|11v1|AA751073 484 4154 208 96.6 globlastp WNU8_H92rice|11v1|AA751266 485 4154 208 96.6 globlastp WNU8_H93rice|11v1|CB635357 486 4154 208 96.6 globlastp WNU8_H94rye|12v1|BE494068 487 4155 208 96.6 globlastp WNU8_H95 rye|12v1|BE495285488 4156 208 96.6 globlastp WNU8_H96 rye|12v1|BE495525 489 4155 208 96.6globlastp WNU8_H97 rye|12v1|BE704534 490 4155 208 96.6 globlastpWNU8_H98 rye|12v1|DRR001012.101216 491 4157 208 96.6 globlastp WNU8_H99rye|12v1|DRR001012.102514 492 4158 208 96.6 globlastp WNU8_H100rye|12v1|DRR001012.103115 493 4158 208 96.6 globlastp WNU8_H101rye|12v1|DRR001012.143672 494 4158 208 96.6 globlastp WNU8_H102rye|12v1|DRR001012.186360 495 4158 208 96.6 globlastp WNU8_H103rye|12v1|DRR001012.311498 496 4155 208 96.6 globlastp WNU8_H104soybean|11v1|GLYMA19G07240 497 4159 208 96.6 globlastp WNU8_H105wheat|12v3|BE406571 498 4160 208 96.6 globlastp WNU8_H104,soybean|12v1|GLYMA19G07240T3_P1 499 4159 208 96.6 globlastp WNU8_H710WNU8_H106 chickpea|11v1|CK148718XX2 500 4161 208 96.42 glotblastnWNU8_H107 millet|10v1|CD724963_T1 501 4162 208 96.42 glotblastnWNU8_H1001 chickpea|13v2|CD051300_P1 502 4163 208 96.4 globlastpWNU8_H1002 chickpea|13v2|GR394715_P1 503 4163 208 96.4 globlastpWNU8_H1003 chickpea|13v2|SRR133517.123761_P1 504 4163 208 96.4 globlastpWNU8_H1004 chickpea|13v2|SRR133517.147659_P1 505 4163 208 96.4 globlastpWNU8_H1005 chickpea|13v2|SRR133517.27793_P1 506 4163 208 96.4 globlastpWNU8_H108 chickpea|11v1|AJ010225XX1 507 4163 208 96.4 globlastpWNU8_H109 chickpea|11v1|GR397423 508 4163 208 96.4 globlastp WNU8_H109chickpea|13v2|AB024998_P1 509 4163 208 96.4 globlastp WNU8_H110cotton|11v1|BE055520_P1 510 4164 208 96.4 globlastp WNU8_H111cucumber|09v1|AT007014_P1 511 4165 208 96.4 globlastp WNU8_H112cynodon|10v1|ES294218_P1 512 4166 208 96.4 globlastp WNU8_H113foxtail_millet|11v3|EC612500_P1 513 4167 208 96.4 globlastp WNU8_H114foxtail_millet|11v3|EC612637_P1 514 4167 208 96.4 globlastp WNU8_H115gossypium_raimondii|12v1|AI054704_P1 515 4164 208 96.4 globlastpWNU8_H116 maize|10v1|AA051887_P1 516 4168 208 96.4 globlastp WNU8_H117maize|10v1|AI586642_P1 517 4169 208 96.4 globlastp WNU8_H118maize|10v1|AI600492_P1 518 4170 208 96.4 globlastp WNU8_H119maize|10v1|T14745_P1 519 4171 208 96.4 globlastp WNU8_H120medicago|12v1|AI737510_P1 520 4172 208 96.4 globlastp WNU8_H121medicago|12v1|AI974390_P1 521 4172 208 96.4 globlastp WNU8_H122millet|10v1|EVO454PM002847_P1 522 4173 208 96.4 globlastp WNU8_H123rye|12v1|DRR001012.150591 523 4174 208 96.4 globlastp WNU8_H124wheat|12v3|BE399763 524 4175 208 96.4 globlastp WNU8_H106,chickpea|13v2|AJ010225_P1 525 4163 208 96.4 globlastp WNU8_H108WNU8_H1006 chickpea|13v2|GR407792_T1 526 4161 208 96.2 glotblastnWNU8_H1007 chickpea|13v2|SRR133517.157170_T1 527 4176 208 96.2glotblastn WNU8_H125 aristolochia|10v1|FD748314_P1 528 4177 208 96.2globlastp WNU8_H126 aristolochia|10v1|FD758456_P1 529 4177 208 96.2globlastp WNU8_H127 banana|12v1|BBS1834T7_P1 530 4178 208 96.2 globlastpWNU8_H128 cotton|11v1|BM359349_P1 531 4179 208 96.2 globlastp WNU8_H129cotton|11v1|CO095627_P1 532 4180 208 96.2 globlastp WNU8_H130cucurbita|11v1|FG227792_P1 533 4181 208 96.2 globlastp WNU8_H131cucurbita|11v1|SRR091276X135177_P1 534 4182 208 96.2 globlastp WNU8_H132foxtail_millet|11v3|EC613365_P1 535 4183 208 96.2 globlastp WNU8_H133foxtail_millet|11v3|EC613737_P1 536 4183 208 96.2 globlastp WNU8_H134foxtail_millet|11v3|GT228338_P1 537 4183 208 96.2 globlastp WNU8_H135foxtail_millet|11v3|PHY7SI022036M_P1 538 4183 208 96.2 globlastpWNU8_H136 foxtail_millet|11v3|PHY7SI022037M_P1 539 4183 208 96.2globlastp WNU8_H137 gossypium_raimondii|12v1|AI730162_P1 540 4180 20896.2 globlastp WNU8_H138 lotus|09v1|AI967306_P1 541 4184 208 96.2globlastp WNU8_H139 millet|10v1|EVO454PM016641_P1 542 4185 208 96.2globlastp WNU8_H140 poppy|11v1|FE964382_P1 543 4186 208 96.2 globlastpWNU8_H141 poppy|11v1|FE965111_P1 544 4186 208 96.2 globlastp WNU8_H142poppy|11v1|FE965256_P1 545 4186 208 96.2 globlastp WNU8_H143poppy|11v1|FE965993_P1 546 4186 208 96.2 globlastp WNU8_H144poppy|11v1|FG606650_P1 547 4186 208 96.2 globlastp WNU8_H145poppy|11v1|FG610664_P1 548 4186 208 96.2 globlastp WNU8_H146poppy|11v1|SRR030259.100126_P1 549 4186 208 96.2 globlastp WNU8_H147poppy|11v1|SRR030259.101544_P1 550 4186 208 96.2 globlastp WNU8_H148poppy|11v1|SRR030259.102267_P1 551 4186 208 96.2 globlastp WNU8_H149poppy|11v1|SRR030259.10410_P1 552 4186 208 96.2 globlastp WNU8_H150poppy|11v1|SRR030259.133939_T1 553 4187 208 96.2 glotblastn WNU8_H151soybean|11v1|GLYMA05G24110 554 4188 208 96.2 globlastp WNU8_H152sugarcane|10v1|AF331850 555 4189 208 96.2 globlastp WNU8_H153sugarcane|10v1|BQ533135 556 4190 208 96.2 globlastp WNU8_H151,soybean|12v1|GLYMA05G24110_P1 557 4188 208 96.2 globlastp WNU8_H408WNU8_H1008 switchgrass|12v1|DN142583_P1 558 4191 208 96 globlastpWNU8_H154 apple|11v1|CN488523_P1 559 4192 208 96 globlastp WNU8_H155apple|11v1|CN494505_P1 560 4192 208 96 globlastp WNU8_H156banana|12v1|BBS3632T3_P1 561 4193 208 96 globlastp WNU8_H157clementine|11v1|BE205689_P1 562 4194 208 96 globlastp WNU8_H158clementine|11v1|BQ624489_P1 563 4195 208 96 globlastp WNU8_H159cotton|11v1|BG445721_P1 564 4196 208 96 globlastp WNU8_H160cowpea|12v1|FC456829_P1 565 4197 208 96 globlastp WNU8_H161cowpea|12v1|FC458124_P1 566 4197 208 96 globlastp WNU8_H162foxtail_millet|11v3|EC612225_P1 567 4198 208 96 globlastp WNU8_H163foxtail_millet|11v3|GT228217_P1 568 4198 208 96 globlastp WNU8_H164hornbeam|12v1|SRR364455.103031_P1 569 4199 208 96 globlastp WNU8_H165kiwi|gb166|GFXAY940092X1_P1 570 4200 208 96 globlastp WNU8_H166maize|10v1|T18806_P1 571 4201 208 96 globlastp WNU8_H167melon|10v1|AM729307_P1 572 4202 208 96 globlastp WNU8_H168oak|10v1|CU639705_P1 573 4203 208 96 globlastp WNU8_H169oak|10v1|DB996494_P1 574 4203 208 96 globlastp WNU8_H170rice|11v1|CB620198 575 4204 208 96 glotblastn WNU8_H171rye|12v1|BE495927 576 4205 208 96 globlastp WNU8_H172rye|12v1|DRR001012.10049 577 4206 208 96 globlastp WNU8_H173sorghum|12v1|SB10G023330 578 4207 208 96 globlastp WNU8_H174sorghum|12v1|SB10G023340 579 4207 208 96 globlastp WNU8_H175sorghum|12v1|SB10G023350 580 4207 208 96 globlastp WNU8_H176sorghum|12v1|SB10G023360 581 4207 208 96 globlastp WNU8_H177tea|10v1|CV699774 582 4208 208 96 globlastp WNU8_H178tobacco|gb162|BQ842818 583 4209 208 96 globlastp WNU8_H179trigonella|11v1|SRR066194X155552 584 4210 208 96 globlastp WNU8_H180poppy|11v1|SRR030259.102988_T1 585 4211 208 95.97 glotblastn WNU8_H181rye|12v1|DRR001013.13890 586 4212 208 95.97 glotblastn WNU8_H182cotton|11v1|BE052982_P1 587 4213 208 95.8 globlastp WNU8_H183pigeonpea|11v1|SRR054580X19235_P1 588 4214 208 95.8 globlastp WNU8_H184apple|11v1|CK900552_T1 589 4215 208 95.78 glotblastn WNU8_H185cynodon|10v1|DN985422_T1 590 4216 208 95.75 glotblastn WNU8_H186poppy|11v1|FE966067_T1 591 4217 208 95.75 glotblastn WNU8_H187poppy|11v1|SRR030260.100144_T1 592 4218 208 95.75 glotblastn WNU8_H1009nicotiana_benthamiana|12v1|AY206004_P1 593 4219 208 95.7 globlastpWNU8_H1010 nicotiana_benthamiana|12v1|CN741625_P1 594 4219 208 95.7globlastp WNU8_H1011 switchgrass|12v1|DN140822_P1 595 4220 208 95.7globlastp WNU8_H1012 switchgrass|12v1|DN141030_P1 596 4220 208 95.7globlastp WNU8_H1013 switchgrass|12v1|DN141417_P1 597 4220 208 95.7globlastp WNU8_H1014 switchgrass|12v1|DN151972_P1 598 4221 208 95.7globlastp WNU8_H1015 switchgrass|12v1|GR876245_P1 599 4220 208 95.7globlastp WNU8_H1016 switchgrass|12v1|SRR187773.415907_P1 600 4220 20895.7 globlastp WNU8_H188 amorphophallus|11v2|SRR089351X101178_P1 6014222 208 95.7 globlastp WNU8_H189amorphophallus|11v2|SRR089351X101401_P1 602 4222 208 95.7 globlastpWNU8_H190 aristolochia|10v1|SRR039082S0176545_P1 603 4223 208 95.7globlastp WNU8_H191 cannabis|12v1|GR220976_P1 604 4224 208 95.7globlastp WNU8_H192 cotton|11v1|AI054704_P1 605 4225 208 95.7 globlastpWNU8_H193 cynodon|10v1|DN985513_P1 606 4226 208 95.7 globlastp WNU8_H194eschscholzia|11v1|CD476726_P1 607 4227 208 95.7 globlastp WNU8_H195eschscholzia|11v1|CD476797_P1 608 4227 208 95.7 globlastp WNU8_H196eschscholzia|11v1|CD476881_P1 609 4227 208 95.7 globlastp WNU8_H197eschscholzia|11v1|CD477282_P1 610 4227 208 95.7 globlastp WNU8_H198eschscholzia|11v1|CD477313_P1 611 4227 208 95.7 globlastp WNU8_H199eschscholzia|11v1|CD477368_P1 612 4227 208 95.7 globlastp WNU8_H200eschscholzia|11v1|CD477537_P1 613 4227 208 95.7 globlastp WNU8_H201eschscholzia|11v1|CD478703_P1 614 4227 208 95.7 globlastp WNU8_H202euphorbia|11v1|SRR098678X100288_P1 615 4228 208 95.7 globlastp WNU8_H203euphorbia|11v1|SRR098678X100301_P1 616 4228 208 95.7 globlastp WNU8_H204euphorbia|11v1|SRR098678X100373_P1 617 4228 208 95.7 globlastp WNU8_H205maize|10v1|H35894_P1 618 4229 208 95.7 globlastp WNU8_H206oak|10v1|FN640894_P1 619 4230 208 95.7 globlastp WNU8_H207oak|10v1|FP043949_P1 620 4230 208 95.7 globlastp WNU8_H208oak|10v1|SRR006307S0002473_P1 621 4231 208 95.7 globlastp WNU8_H209onion|12v1|BQ580086_P1 622 4232 208 95.7 globlastp WNU8_H210poppy|11v1|SRR030259.109187_P1 623 4233 208 95.7 globlastp WNU8_H211prunus|10v1|BU039267 624 4234 208 95.7 globlastp WNU8_H212rose|12v1|BQ104256 625 4235 208 95.7 globlastp WNU8_H213silene|11v1|SRR096785X100438 626 4236 208 95.7 globlastp WNU8_H214silene|11v1|SRR096785X100589 627 4236 208 95.7 globlastp WNU8_H215silene|11v1|SRR096785X100710 628 4236 208 95.7 globlastp WNU8_H216silene|11v1|SRR096785X101356 629 4236 208 95.7 globlastp WNU8_H217silene|11v1|SRR096785X102548 630 4237 208 95.7 globlastp WNU8_H218silene|11v1|SRR096785X103692 631 4236 208 95.7 globlastp WNU8_H219silene|11v1|SRR096785X106318 632 4237 208 95.7 globlastp WNU8_H220tobacco|gb162|NTU04632 633 4238 208 95.7 globlastp WNU8_H221trigonella|11v1|SRR066194X116263 634 4239 208 95.7 globlastp WNU8_H1017chickpea|13v2|GR392683_T1 635 4240 208 95.53 glotblastn WNU8_H1018chickpea|13v2|SRR133517.155916_T1 636 4241 208 95.53 glotblastnWNU8_H1019 chickpea|13v2|SRR133517.29578_T1 637 4242 208 95.53glotblastn WNU8_H222 amorphophallus|11v2|SRR089351X143730_T1 638 4243208 95.53 glotblastn WNU8_H223 amsonia|11v1|SRR098688X1008_T1 639 4244208 95.53 glotblastn WNU8_H224 cotton|11v1|AI730606_T1 640 4245 20895.53 glotblastn WNU8_H225 flaveria|11v1|SRR149229.466247_T1 641 4246208 95.53 glotblastn WNU8_H226 flaveria|11v1|SRR149232.102431_T1 6424247 208 95.53 glotblastn WNU8_H227 foxtail_millet|11v3|EC613894_T1 6434248 208 95.53 glotblastn WNU8_H228 foxtail_millet|11v3|SICRP094614_T1644 4249 208 95.53 glotblastn WNU8_H229plantago|11v2|SRR066373X133888_T1 645 4250 208 95.53 glotblastnWNU8_H230 poppy|11v1|SRR030259.205881_T1 646 4251 208 95.53 glotblastnWNU8_H231 poppy|11v1|SRR030259.227682_T1 647 4252 208 95.53 glotblastnWNU8_H232 silene|11v1|SRR096785X153635 648 4253 208 95.53 glotblastnWNU8_H1020 bean|12v2|CA898065_P1 649 4254 208 95.5 globlastp WNU8_H1021nicotiana_benthamiana|12v1|BP744731_P1 650 4255 208 95.5 globlastpWNU8_H1022 nicotiana_benthamiana|12v1|CN655509_P1 651 4256 208 95.5globlastp WNU8_H1023 prunus_mume|13v1|BU039267_P1 652 4257 208 95.5globlastp WNU8_H233 aristolochia|10v1|FD750352_P1 653 4258 208 95.5globlastp WNU8_H235 chelidonium|11v1|SRR084752X100201_P1 654 4259 20895.5 globlastp WNU8_H236 cotton|11v1|AI725538_P1 655 4260 208 95.5globlastp WNU8_H237 cotton|11v1|AI726406_P1 656 4260 208 95.5 globlastpWNU8_H238 cotton|11v1|AI726541_P1 657 4260 208 95.5 globlastp WNU8_H239cotton|11v1|AI730220_P1 658 4260 208 95.5 globlastp WNU8_H240cotton|11v1|AI730498_P1 659 4260 208 95.5 globlastp WNU8_H241cotton|11v1|BF274186_P1 660 4260 208 95.5 globlastp WNU8_H242cotton|11v1|CO117735XX2_P1 661 4260 208 95.5 globlastp WNU8_H243eggplant|10v1|FS000082_P1 662 4261 208 95.5 globlastp WNU8_H244eggplant|10v1|FS000440_P1 663 4262 208 95.5 globlastp WNU8_H245eschscholzia|11v1|CD476486_P1 664 4263 208 95.5 globlastp WNU8_H246eschscholzia|11v1|CD478453XX2_P1 665 4264 208 95.5 globlastp WNU8_H247eschscholzia|11v1|CD478458_P1 666 4264 208 95.5 globlastp WNU8_H248eschscholzia|11v1|CD478468_P1 667 4265 208 95.5 globlastp WNU8_H249eschscholzia|11v1|CD479080XX2_P1 668 4264 208 95.5 globlastp WNU8_H250eschscholzia|11v1|SRR014116.110768_P1 669 4266 208 95.5 globlastpWNU8_H251 gossypium_raimondii|12v1|AI725538_P1 670 4260 208 95.5globlastp WNU8_H252 gossypium_raimondii|12v1|AI726406_P1 671 4260 20895.5 globlastp WNU8_H253 gossypium_raimondii|12v1|BE052982_P1 672 4267208 95.5 globlastp WNU8_H254 grape|11v1|GSVIVT01025142001_P1 673 4268208 95.5 globlastp WNU8_H255 grape|11v1|GSVIVT01025145001_P1 674 4268208 95.5 globlastp WNU8_H256 momordica|10v1|SRR071315S0002857_P1 6754269 208 95.5 globlastp WNU8_H257 nasturtium|11v1|GH162035_P1 676 4270208 95.5 globlastp WNU8_H258 papaya|gb165|EL784286_P1 677 4271 208 95.5globlastp WNU8_H259 pea|11v1|CD861071_P1 678 4272 208 95.5 globlastpWNU8_H260 pepper|12v1|AF109666_P1 679 4273 208 95.5 globlastp WNU8_H261poppy|11v1|SRR030259.119594_P1 680 4274 208 95.5 globlastp WNU8_H262rose|12v1|BQ106130 681 4275 208 95.5 globlastp WNU8_H263solanum_phureja|09v1|SPHAA076676 682 4276 208 95.5 globlastp WNU8_H264sorghum|12v1|SB02G036420 683 4277 208 95.5 globlastp WNU8_H265soybean|11v1|GLYMA10G35700 684 4278 208 95.5 globlastp WNU8_H265soybean|12v1|GLYMA10G35700_P1 685 4278 208 95.5 globlastp WNU8_H266vinca|11v1|SRR098690X123396 686 4279 208 95.5 globlastp WNU8_H267watermelon|11v1|CO997727 687 4280 208 95.5 globlastp WNU8_H1024castorbean|12v1|EE254323_T1 688 4281 208 95.3 glotblastn WNU8_H1025switchgrass|12v1|FL815212_P1 689 4282 208 95.3 globlastp WNU8_H268aquilegia|10v2|DR930217_P1 690 4283 208 95.3 globlastp WNU8_H269banana|12v1|Z99973_P1 691 4284 208 95.3 globlastp WNU8_H270beech|11v1|SRR006293.33031_T1 692 4285 208 95.3 glotblastn WNU8_H271beet|12v1|AW777205_P1 693 4286 208 95.3 globlastp WNU8_H272beet|12v1|BF011175_P1 694 4286 208 95.3 globlastp WNU8_H273castorbean|11v1|EE254323 695 4281 208 95.3 glotblastn WNU8_H274centaurea|11v1|EH726601_P1 696 4287 208 95.3 globlastp WNU8_H275centaurea|11v1|EH761240_P1 697 4287 208 95.3 globlastp WNU8_H276chelidonium|11v1|SRR084752X100558_P1 698 4288 208 95.3 globlastpWNU8_H277 chelidonium|11v1|SRR084752X100795_P1 699 4289 208 95.3globlastp WNU8_H278 chelidonium|11v1|SRR084752X101329_P1 700 4289 20895.3 globlastp WNU8_H279 cirsium|11v1|SRR346952.1002708_P1 701 4287 20895.3 globlastp WNU8_H280 cirsium|11v1|SRR349641.103962_P1 702 4287 20895.3 globlastp WNU8_H281 cleome_gynandra|10v1|SRR015532S0001474_P1 7034290 208 95.3 globlastp WNU8_H282cleome_gynandra|10v1|SRR015532S0004204_P1 704 4290 208 95.3 globlastpWNU8_H283 cleome_spinosa|10v1|GR932583_P1 705 4291 208 95.3 globlastpWNU8_H284 cleome_spinosa|10v1|SRR015531S0002895_P1 706 4292 208 95.3globlastp WNU8_H285 cotton|11v1|BF274217XX1_P1 707 4293 208 95.3globlastp WNU8_H286 cotton|11v1|CO100824_P1 708 4293 208 95.3 globlastpWNU8_H287 cotton|11v1|DT053387_P1 709 4294 208 95.3 globlastp WNU8_H288cotton|11v1|DT569172_P1 710 4293 208 95.3 globlastp WNU8_H289eucalyptus|11v2|AW191358_P1 711 4295 208 95.3 globlastp WNU8_H290euonymus|11v1|SRR070038X101364_P1 712 4296 208 95.3 globlastp WNU8_H291euonymus|11v1|SRR070038X115963_P1 713 4296 208 95.3 globlastp WNU8_H292euonymus|11v1|SRR070038X259150_P1 714 4297 208 95.3 globlastp WNU8_H293flaveria|11v1|SRR149229.100675_P1 715 4298 208 95.3 globlastp WNU8_H294flaveria|11v1|SRR149229.138103_P1 716 4298 208 95.3 globlastp WNU8_H295flaveria|11v1|SRR149229.426038_P1 717 4299 208 95.3 globlastp WNU8_H296flaveria|11v1|SRR149229.452538_P1 718 4299 208 95.3 globlastp WNU8_H297flaveria|11v1|SRR149229.452727_P1 719 4298 208 95.3 globlastp WNU8_H298flaveria|11v1|SRR149232.105959_P1 720 4298 208 95.3 globlastp WNU8_H299flaveria|11v1|SRR149232.119639_P1 721 4298 208 95.3 globlastp WNU8_H300flaveria|11v1|SRR149232.239369XX2_P1 722 4298 208 95.3 globlastpWNU8_H301 flaveria|11v1|SRR149232.253318_P1 723 4298 208 95.3 globlastpWNU8_H302 flaveria|11v1|SRR149232.316595_P1 724 4299 208 95.3 globlastpWNU8_H303 flaveria|11v1|SRR149232.356601_P1 725 4298 208 95.3 globlastpWNU8_H304 flaveria|11v1|SRR149232.382252_P1 726 4298 208 95.3 globlastpWNU8_H305 flaveria|11v1|SRR149232.85827_P1 727 4298 208 95.3 globlastpWNU8_H306 flaveria|11v1|SRR149240.222217_P1 728 4298 208 95.3 globlastpWNU8_H307 gerbera|09v1|AJ750107_P1 729 4300 208 95.3 globlastp WNU8_H308gossypium_raimondii|12v1|AI055114_P1 730 4293 208 95.3 globlastpWNU8_H309 hornbeam|12v1|SRR364455.101164_P1 731 4301 208 95.3 globlastpWNU8_H310 hornbeam|12v1|SRR364455.101583_P1 732 4301 208 95.3 globlastpWNU8_H311 hornbeam|12v1|SRR364455.101709_P1 733 4301 208 95.3 globlastpWNU8_H312 medicago|12v1|AW256757_P1 734 4302 208 95.3 globlastpWNU8_H313 medicago|12v1|BF650996_P1 735 4303 208 95.3 globlastpWNU8_H314 pigeonpea|11v1|GR466613_T1 736 4304 208 95.3 glotblastnWNU8_H315 plantago|11v2|SRR066373X100182_P1 737 4305 208 95.3 globlastpWNU8_H316 plantago|11v2|SRR066373X101749_P1 738 4305 208 95.3 globlastpWNU8_H317 platanus|11v1|SRR096786X106302_P1 739 4306 208 95.3 globlastpWNU8_H318 poppy|11v1|FE965841_P1 740 4307 208 95.3 globlastp WNU8_H319poppy|11v1|FE968602_P1 741 4308 208 95.3 globlastp WNU8_H320poppy|11v1|FG612840_T1 742 4309 208 95.3 glotblastn WNU8_H321poppy|11v1|SRR030259.111052_P1 743 4310 208 95.3 globlastp WNU8_H322poppy|11v1|SRR030267.75877_P1 744 4308 208 95.3 globlastp WNU8_H323rye|12v1|BF429367 745 4311 208 95.3 globlastp WNU8_H324rye|12v1|DRR001012.101877 746 4312 208 95.3 glotblastn WNU8_H325silene|11v1|DV768325 747 4313 208 95.3 globlastp WNU8_H326silene|11v1|SRR096785X101252 748 4314 208 95.3 globlastp WNU8_H327solanum_phureja|09v1|SPHAI773886 749 4315 208 95.3 globlastp WNU8_H328soybean|11v1|GLYMA05G11630 750 4316 208 95.3 globlastp WNU8_H328soybean|12v1|GLYMA05G11630T2_P1 751 4316 208 95.3 globlastp WNU8_H329soybean|11v1|GLYMA17G23900 752 4317 208 95.3 globlastp WNU8_H330sugarcane|10v1|CA110141 753 4318 208 95.3 globlastp WNU8_H331tomato|11v1|NTU04632 754 4319 208 95.3 globlastp WNU8_H332wheat|12v3|HX143170 755 4320 208 95.3 globlastp WNU8_H329,soybean|12v1|GLYMA17G23900_P1 756 4317 208 95.3 globlastp WNU8_H711WNU8_H1026 castorbean|12v1|EG658125_P1 757 4321 208 95.1 globlastpWNU8_H1027 poplar|13v1|AI161969_P1 758 4322 208 95.1 globlastpWNU8_H1028 switchgrass|12v1|FE605464_P1 759 4323 208 95.1 globlastpWNU8_H333 amborella|12v3|FD428667_P1 760 4324 208 95.1 globlastpWNU8_H334 apple|11v1|CN862600_P1 761 4325 208 95.1 globlastp WNU8_H335apple|11v1|MDU80268_P1 762 4326 208 95.1 globlastp WNU8_H336artemisia|10v1|EY102338_P1 763 4327 208 95.1 globlastp WNU8_H337banana|12v1|DQ057979_P1 764 4328 208 95.1 globlastp WNU8_H338banana|12v1|ES431512_P1 765 4329 208 95.1 globlastp WNU8_H339banana|12v1|FF561778_P1 766 4330 208 95.1 globlastp WNU8_H340beech|11v1|SRR006293.11634_P1 767 4331 208 95.1 globlastp WNU8_H341beech|11v1|SRR006293.11715_P1 768 4332 208 95.1 globlastp WNU8_H342beech|11v1|SRR006293.26950_P1 769 4333 208 95.1 globlastp WNU8_H343beet|12v1|BF011125_P1 770 4334 208 95.1 globlastp WNU8_H344blueberry|12v1|CF811324_P1 771 4335 208 95.1 globlastp WNU8_H345blueberry|12v1|DR068176_P1 772 4336 208 95.1 globlastp WNU8_H346blueberry|12v1|SRR353282X11412D1_P1 773 4337 208 95.1 globlastpWNU8_H347 cacao|10v1|CU471873_P1 774 4338 208 95.1 globlastp WNU8_H348cannabis|12v1|GR220640_P1 775 4339 208 95.1 globlastp WNU8_H349castorbean|11v1|EG658125 776 4321 208 95.1 globlastp WNU8_H350cirsium|11v1|SRR346952.124276_P1 777 4340 208 95.1 globlastp WNU8_H351cotton|11v1|AI055181_P1 778 4341 208 95.1 globlastp WNU8_H352cotton|11v1|AI730775_P1 779 4342 208 95.1 globlastp WNU8_H353cotton|11v1|BQ407515_P1 780 4343 208 95.1 globlastp WNU8_H354cotton|11v1|CO074038_P1 781 4343 208 95.1 globlastp WNU8_H355eucalyptus|11v2|CB968056_P1 782 4344 208 95.1 globlastp WNU8_H356eucalyptus|11v2|CD668816_P1 783 4345 208 95.1 globlastp WNU8_H357eucalyptus|11v2|CD669665_P1 784 4346 208 95.1 globlastp WNU8_H358flaveria|11v1|SRR149229.104017_P1 785 4347 208 95.1 globlastp WNU8_H359flaveria|11v1|SRR149229.124433_P1 786 4347 208 95.1 globlastp WNU8_H360flaveria|11v1|SRR149229.444305_P1 787 4348 208 95.1 globlastp WNU8_H361flaveria|11v1|SRR149229.93595_P1 788 4347 208 95.1 globlastp WNU8_H362flaveria|11v1|SRR149232.15044_P1 789 4349 208 95.1 globlastp WNU8_H363gossypium_raimondii|12v1|AI055181_P1 790 4341 208 95.1 globlastpWNU8_H364 gossypium_raimondii|12v1|AI730775_P1 791 4350 208 95.1globlastp WNU8_H365 grape|11v1|GSVIVT01016317001_P1 792 4351 208 95.1globlastp WNU8_H366 humulus|11v1|ES652342_P1 793 4352 208 95.1 globlastpWNU8_H367 lettuce|12v1|DW043995_P1 794 4353 208 95.1 globlastp WNU8_H368lotus|09v1|CN825649_P1 795 4354 208 95.1 globlastp WNU8_H369momordica|10v1|SRR071315S0016076_P1 796 4355 208 95.1 globlastpWNU8_H370 phyla|11v2|SRR099035X100072_P1 797 4356 208 95.1 globlastpWNU8_H371 phyla|11v2|SRR099035X101326_P1 798 4356 208 95.1 globlastpWNU8_H372 phyla|11v2|SRR099035X101336_P1 799 4356 208 95.1 globlastpWNU8_H373 phyla|11v2|SRR099035X103026_P1 800 4356 208 95.1 globlastpWNU8_H374 pigeonpea|11v1|SRR054580X118863_P1 801 4357 208 95.1 globlastpWNU8_H375 podocarpus|10v1|SRR065014S0015649_P1 802 4358 208 95.1globlastp WNU8_H376 poppy|11v1|FE965023_P1 803 4359 208 95.1 globlastpWNU8_H377 poppy|11v1|FE966271_P1 804 4360 208 95.1 globlastp WNU8_H378poppy|11v1|SRR030259.131651_P1 805 4360 208 95.1 globlastp WNU8_H379poppy|11v1|SRR030259.204870_P1 806 4360 208 95.1 globlastp WNU8_H380poppy|11v1|SRR030259.371307_P1 807 4359 208 95.1 globlastp WNU8_H381poppy|11v1|SRR030265.228007_P1 808 4361 208 95.1 globlastp WNU8_H382poppy|11v1|SRR030266.80491_P1 809 4361 208 95.1 globlastp WNU8_H383poppy|11v1|SRR033669.106346_P1 810 4362 208 95.1 globlastp WNU8_H384poppy|11v1|SRR096789.100989_P1 811 4361 208 95.1 globlastp WNU8_H385poppy|11v1|SRR096789.114426_P1 812 4361 208 95.1 globlastp WNU8_H386primula|11v1|SRR098679X10087_P1 813 4363 208 95.1 globlastp WNU8_H387pteridium|11v1|SRR043594X102662 814 4364 208 95.1 globlastp WNU8_H388solanum_phureja|09v1|SPHAI781348 815 4365 208 95.1 globlastp WNU8_H389solanum_phureja|09v1|SPHAJ302119 816 4365 208 95.1 globlastp WNU8_H390solanum_phureja|09v1|SPHBG123241 817 4365 208 95.1 globlastp WNU8_H391strawberry|11v1|CO378450 818 4366 208 95.1 globlastp WNU8_H392tomato|11v1|AF108894 819 4367 208 95.1 globlastp WNU8_H393tomato|11v1|BG123241 820 4367 208 95.1 globlastp WNU8_H394trigonella|11v1|SRR066194X107491 821 4368 208 95.1 globlastp WNU8_H395tripterygium|11v1|SRR098677X100595 822 4369 208 95.1 globlastp WNU8_H396tripterygium|11v1|SRR098677X100891 823 4369 208 95.1 globlastp WNU8_H397tripterygium|11v1|SRR098677X101036 824 4369 208 95.1 globlastp WNU8_H398tripterygium|11v1|SRR098677X12791XX1 825 4369 208 95.1 globlastpWNU8_H399 utricularia|11v1|SRR094438.100179 826 4370 208 95.1 globlastpWNU8_H400 apple|11v1|CX022900_T1 827 4371 208 95.08 glotblastn WNU8_H401cannabis|12v1|GR220972_T1 828 4372 208 95.08 glotblastn WNU8_H402cotton|11v1|BQ416159_T1 829 4373 208 95.08 glotblastn WNU8_H403eschscholzia|11v1|CD476470_T1 830 4374 208 95.08 glotblastn WNU8_H404flaveria|11v1|SRR149232.101720_T1 831 4375 208 95.08 glotblastnWNU8_H405 grape|11v1|CB001916_T1 832 4376 208 95.08 glotblastn WNU8_H406poppy|11v1|SRR096789.135633_T1 833 4377 208 95.08 glotblastn WNU8_H407sorghum|12v1|CD204773 834 4378 208 95.08 glotblastn WNU8_H408soybean|11v1|CF806389 835 4379 208 95.08 glotblastn WNU8_H409wheat|12v3|AW448510 836 4380 208 95.08 glotblastn WNU8_H1029prunus_mume|13v1|BU039165_P1 837 4381 208 94.9 globlastp WNU8_H410amorphophallus|11v2|SRR089351X10266_P1 838 4382 208 94.9 globlastpWNU8_H411 amorphophallus|11v2|SRR089351X105525XX1_P1 839 4382 208 94.9globlastp WNU8_H412 amorphophallus|11v2|SRR089351X128278_P1 840 4382 20894.9 globlastp WNU8_H413 amsonia|11v1|SRR098688X100175_P1 841 4383 20894.9 globlastp WNU8_H414 aquilegia|10v2|DR935423_P1 842 4384 208 94.9globlastp WNU8_H415 aquilegia|10v2|DT744770_P1 843 4385 208 94.9globlastp WNU8_H416 banana|12v1|FF560532_P1 844 4386 208 94.9 globlastpWNU8_H417 basilicum|10v1|DY321893_P1 845 4387 208 94.9 globlastpWNU8_H418 blueberry|12v1|DR067017_P1 846 4388 208 94.9 globlastpWNU8_H419 blueberry|12v1|SRR353282X100165D1_P1 847 4389 208 94.9globlastp WNU8_H420 blueberry|12v1|SRR353282X100928D1_P1 848 4390 20894.9 globlastp WNU8_H421 cacao|10v1|CA797400_P1 849 4391 208 94.9globlastp WNU8_H422 cacao|10v1|CF972784_P1 850 4392 208 94.9 globlastpWNU8_H423 cedrus|11v1|SRR065007X100666_P1 851 4393 208 94.9 globlastpWNU8_H424 cirsium|11v1|SRR346952.1004975_P1 852 4394 208 94.9 globlastpWNU8_H425 cirsium|11v1|SRR346952.1052090_P1 853 4394 208 94.9 globlastpWNU8_H426 clementine|11v1|BE205741_P1 854 4395 208 94.9 globlastpWNU8_H427 cleome_gynandra|10v1|SRR015532S0001773_P1 855 4396 208 94.9globlastp WNU8_H428 cleome_spinosa|10v1|GR933669_P1 856 4397 208 94.9globlastp WNU8_H429 cleome_spinosa|10v1|SRR015531S0001111_P1 857 4398208 94.9 globlastp WNU8_H430 coffea|10v1|DV663574_P1 858 4399 208 94.9globlastp WNU8_H431 cotton|11v1|CO071370_P1 859 4400 208 94.9 globlastpWNU8_H432 cotton|11v1|DT048133_P1 860 4401 208 94.9 globlastp WNU8_H433dandelion|10v1|DR399309_P1 861 4402 208 94.9 globlastp WNU8_H434eschscholzia|11v1|CD476398_P1 862 4403 208 94.9 globlastp WNU8_H435eucalyptus|11v2|CB967966_P1 863 4404 208 94.9 globlastp WNU8_H436euphorbia|11v1|AW862637_P1 864 4405 208 94.9 globlastp WNU8_H437grape|11v1|GSVIVT01025638001_P1 865 4406 208 94.9 globlastp WNU8_H438humulus|11v1|FG346869_P1 866 4407 208 94.9 globlastp WNU8_H439humulus|11v1|GD245567_P1 867 4408 208 94.9 globlastp WNU8_H440maize|10v1|BG320525_P1 868 4409 208 94.9 globlastp WNU8_H441oil_palm|11v1|EL682924_P1 869 4410 208 94.9 globlastp WNU8_H442oil_palm|11v1|EL930607_P1 870 4411 208 94.9 globlastp WNU8_H443oil_palm|11v1|ES323752_P1 871 4411 208 94.9 globlastp WNU8_H444orange|11v1|BE205741_P1 872 4412 208 94.9 globlastp WNU8_H445orobanche|10v1|SRR023189S0000079_P1 873 4413 208 94.9 globlastpWNU8_H446 orobanche|10v1|SRR023189S0001178_P1 874 4414 208 94.9globlastp WNU8_H447 parthenium|10v1|GW776061_P1 875 4415 208 94.9globlastp WNU8_H448 pepper|12v1|AF108894_P1 876 4416 208 94.9 globlastpWNU8_H449 pepper|12v1|BM061844_P1 877 4416 208 94.9 globlastp WNU8_H450phalaenopsis|11v1|CB033270XX1_P1 878 4417 208 94.9 globlastp WNU8_H451phalaenopsis|11v1|CK858530_P1 879 4418 208 94.9 globlastp WNU8_H452platanus|11v1|AM286248_P1 880 4419 208 94.9 globlastp WNU8_H453platanus|11v1|SRR096786X101171_P1 881 4419 208 94.9 globlastp WNU8_H454poppy|11v1|SRR030259.124479_P1 882 4420 208 94.9 globlastp WNU8_H455prunus|10v1|BU039165 883 4381 208 94.9 globlastp WNU8_H456rye|12v1|DRR001012.156956 884 4421 208 94.9 globlastp WNU8_H457spruce|11v1|ES245248 885 4422 208 94.9 globlastp WNU8_H458spruce|11v1|ES250415 886 4422 208 94.9 globlastp WNU8_H459spruce|11v1|EX345407 887 4422 208 94.9 globlastp WNU8_H460strawberry|11v1|CO381963 888 4423 208 94.9 globlastp WNU8_H461sunflower|12v1|AJ318256 889 4424 208 94.9 globlastp WNU8_H462sunflower|12v1|AY094064 890 4424 208 94.9 globlastp WNU8_H463sunflower|12v1|BU671873 891 4424 208 94.9 globlastp WNU8_H464sunflower|12v1|BU671985 892 4424 208 94.9 globlastp WNU8_H465sunflower|12v1|CD851234 893 4424 208 94.9 globlastp WNU8_H466sunflower|12v1|DY909098 894 4424 208 94.9 globlastp WNU8_H467sunflower|12v1|DY915476 895 4424 208 94.9 globlastp WNU8_H468tabernaemontana|11v1|SRR098689X101208 896 4425 208 94.9 globlastpWNU8_H469 tabernaemontana|11v1|SRR098689X106153XX1 897 4426 208 94.9globlastp WNU8_H470 tomato|11v1|R28725 898 4427 208 94.9 globlastpWNU8_H471 tragopogon|10v1|SRR020205S0002006 899 4428 208 94.9 globlastpWNU8_H472 trigonella|11v1|SRR066194X10242 900 4429 208 94.9 globlastpWNU8_H501 poplar|13v1|AI164807_P1 901 4430 208 94.9 globlastp WNU8_H473eucalyptus|11v2|CU400103_T1 902 4431 208 94.88 glotblastn WNU8_H474medicago|12v1|BF639628_T1 903 4432 208 94.87 glotblastn WNU8_H1030monkeyflower|12v1|DV205853_T1 904 4433 208 94.85 glotblastn WNU8_H475avocado|10v1|CO996848_T1 905 4434 208 94.85 glotblastn WNU8_H476beet|12v1|AW697790_T1 906 4435 208 94.85 glotblastn WNU8_H477cannabis|12v1|GR222004_T1 907 4436 208 94.85 glotblastn WNU8_H478eschscholzia|11v1|SRR014116.105105_T1 908 4437 208 94.85 glotblastnWNU8_H479 flaveria|11v1|SRR149229.114917_T1 909 4438 208 94.85glotblastn WNU8_H480 gossypium_raimondii|12v1|AI726186_T1 910 4439 20894.85 glotblastn WNU8_H481 maize|10v1|CD441766_T1 911 4440 208 94.85glotblastn WNU8_H482 rye|12v1|DRR001012.347328 912 4441 208 94.85glotblastn WNU8_H1031 castorbean|12v1|EE256050_P1 913 4442 208 94.7globlastp WNU8_H1032 castorbean|12v1|EG656787_P1 914 4442 208 94.7globlastp WNU8_H1033 olea|13v1|GFXAM946404X1_P1 915 4443 208 94.7globlastp WNU8_H1034 olea|13v1|SRR014463X20349D1_P1 916 4444 208 94.7globlastp WNU8_H1035 poplar|13v1|AI166447_P1 917 4445 208 94.7 globlastpWNU8_H483 ambrosia|11v1|SRR346943.126871_P1 918 4446 208 94.7 globlastpWNU8_H484 arabidopsis_lyrata|09v1|JGIAL000754_P1 919 4447 208 94.7globlastp WNU8_H485 arabidopsis_lyrata|09v1|JGIAL030663_P1 920 4447 20894.7 globlastp WNU8_H486 arabidopsis|10v1|AT1G07901_P1 921 4447 208 94.7globlastp WNU8_H487 arabidopsis|10v1|AT1G07930_P1 922 4447 208 94.7globlastp WNU8_H488 arabidopsis|10v1|AT1G07940_P1 923 4447 208 94.7globlastp WNU8_H489 arabidopsis|10v1|AT5G60390_P1 924 4447 208 94.7globlastp WNU8_H490 cacao|10v1|CA794319_P1 925 4448 208 94.7 globlastpWNU8_H492 castorbean|11v1|EG656787 926 4442 208 94.7 globlastp WNU8_H493cirsium|11v1|SRR346952.102421_P1 927 4449 208 94.7 globlastp WNU8_H494cleome_spinosa|10v1|SRR015531S0002488_P1 928 4450 208 94.7 globlastpWNU8_H495 coffea|10v1|CF588804_P1 929 4451 208 94.7 globlastp WNU8_H496cotton|11v1|AW187614_P1 930 4452 208 94.7 globlastp WNU8_H497cotton|11v1|BQ414984_P1 931 4452 208 94.7 globlastp WNU8_H498cucumber|09v1|CSCRP008322_P1 932 4453 208 94.7 globlastp WNU8_H499fraxinus|11v1|SRR058827.100679_P1 933 4454 208 94.7 globlastp WNU8_H500olea|11v1|SRR014463.10146 934 4455 208 94.7 globlastp WNU8_H501poplar|10v1|AI161969 935 4456 208 94.7 globlastp WNU8_H502sunflower|12v1|BU028740 936 4457 208 94.7 globlastp WNU8_H503sunflower|12v1|DY946305 937 4458 208 94.7 globlastp WNU8_H504thellungiella_halophilum|11v1|BM986048 938 4459 208 94.7 globlastpWNU8_H505 thellungiella_halophilum|11v1|DN773185 939 4459 208 94.7globlastp WNU8_H506 thellungiella_halophilum|11v1|DN773401 940 4459 20894.7 globlastp WNU8_H507 thellungiella_halophilum|11v1|DN773796 941 4459208 94.7 globlastp WNU8_H508 triphysaria|10v1|BE574839 942 4460 208 94.7globlastp WNU8_H509 triphysaria|10v1|BM357290 943 4460 208 94.7globlastp WNU8_H510 valeriana|11v1|SRR099039X149703 944 4461 208 94.7globlastp WNU8_H511 foxtail_millet|11v3|SICRP094659_T1 945 4462 20894.69 glotblastn WNU8_H512 ambrosia|11v1|SRR346935.127621_T1 946 4463208 94.63 glotblastn WNU8_H513 castorbean|11v1|EG661854 947 4464 20894.63 glotblastn WNU8_H514 grape|11v1|CB288374_T1 948 4465 208 94.63glotblastn WNU8_H515 poppy|11v1|SRR030259.267771_T1 949 4466 208 94.63glotblastn WNU8_H516 sorghum|12v1|SB12V1CRP038294 950 4467 208 94.63glotblastn WNU8_H517 valeriana|11v1|SRR099039X100036 951 4468 208 94.63glotblastn WNU8_H518 wheat|12v3|AL820214 952 4469 208 94.63 glotblastnWNU8_H1036 prunus_mume|13v1|AJ533915_P1 953 4470 208 94.6 globlastpWNU8_H519 abies|11v2|SRR098676X101737_P1 954 4471 208 94.6 globlastpWNU8_H520 amorphophallus|11v2|SRR089351X106775_P1 955 4472 208 94.6globlastp WNU8_H521 apple|11v1|CN860744_P1 956 4473 208 94.6 globlastpWNU8_H522 artemisia|10v1|EY037542_P1 957 4474 208 94.6 globlastpWNU8_H523 euonymus|11v1|SRR070038X100853_P1 958 4475 208 94.6 globlastpWNU8_H524 euonymus|11v1|SRR070038X11282_P1 959 4476 208 94.6 globlastpWNU8_H525 euphorbia|11v1|AW862626_P1 960 4477 208 94.6 globlastpWNU8_H526 flax|11v1|CA482954_P1 961 4478 208 94.6 globlastp WNU8_H527flax|11v1|CV478249_P1 962 4478 208 94.6 globlastp WNU8_H528ipomoea_batatas|10v1|CB330042_P1 963 4479 208 94.6 globlastp WNU8_H529ipomoea_nil|10v1|BJ553094_P1 964 4480 208 94.6 globlastp WNU8_H530lolium|10v1|AU245749_P1 965 4481 208 94.6 globlastp WNU8_H531lolium|10v1|DT669536_P1 966 4482 208 94.6 globlastp WNU8_H532millet|10v1|EVO454PM009336_P1 967 4483 208 94.6 globlastp WNU8_H533oil_palm|11v1|EL608609_P1 968 4484 208 94.6 globlastp WNU8_H534oil_palm|11v1|EL681356XX1_P1 969 4485 208 94.6 globlastp WNU8_H535phalaenopsis|11v1|SRR125771.1013977_P1 970 4486 208 94.6 globlastpWNU8_H536 poplar|10v1|AI161649 971 4487 208 94.6 globlastp WNU8_H537pseudotsuga|10v1|SRR065119S0000257 972 4488 208 94.6 globlastp WNU8_H538spikemoss|gb165|DN839525 973 4489 208 94.6 globlastp WNU8_H539trigonella|11v1|SRR066194X137675 974 4490 208 94.6 globlastp WNU8_H540trigonella|11v1|SRR066194X154517 975 4490 208 94.6 globlastp WNU8_H541tripterygium|11v1|SRR098677X101761 976 4491 208 94.6 globlastp WNU8_H536poplar|13v1|AI161506_T1 977 4492 208 94.41 glotblastn WNU8_H542b_juncea|12v1|E6ANDIZ01A0NBV_T1 978 4493 208 94.41 glotblastn WNU8_H543canola|11v1|SRR329671.156242_T1 979 4494 208 94.41 glotblastn WNU8_H544cichorium|gb171|AY378166_T1 980 4495 208 94.41 glotblastn WNU8_H545lotus|09v1|BP070850_T1 981 4496 208 94.41 glotblastn WNU8_H546oil_palm|11v1|EB643526_T1 982 4497 208 94.41 glotblastn WNU8_H547primula|11v1|SRR098679X113006_T1 983 4498 208 94.41 glotblastn WNU8_H548scabiosa|11v1|SRR063723X103333 984 4499 208 94.41 glotblastn WNU8_H549sugarcane|10v1|AF281361 985 4500 208 94.41 glotblastn WNU8_H550tomato|11v1|AI773886 986 4501 208 94.41 glotblastn WNU8_H1037bean|12v2|SRR001336.212815_P1 987 4502 208 94.4 globlastp WNU8_H1038monkeyflower|12v1|DV207107_P1 988 4503 208 94.4 globlastp WNU8_H1039monkeyflower|12v1|DV207353_P1 989 4503 208 94.4 globlastp WNU8_H1040monkeyflower|12v1|DV208772_P1 990 4503 208 94.4 globlastp WNU8_H551abies|11v2|SRR098676X100568_P1 991 4504 208 94.4 globlastp WNU8_H552amborella|12v3|CK749009_P1 992 4505 208 94.4 globlastp WNU8_H554cacao|10v1|CA795371_P1 993 4506 208 94.4 globlastp WNU8_H555cannabis|12v1|SOLX00017332_P1 994 4507 208 94.4 globlastp WNU8_H556catharanthus|11v1|EG554695_P1 995 4508 208 94.4 globlastp WNU8_H557catharanthus|11v1|EG555941_P1 996 4508 208 94.4 globlastp WNU8_H558catharanthus|11v1|EG557697_P1 997 4508 208 94.4 globlastp WNU8_H559cedrus|11v1|SRR065007X100199_P1 998 4509 208 94.4 globlastp WNU8_H560cedrus|11v1|SRR065007X10026_P1 999 4509 208 94.4 globlastp WNU8_H561cotton|11v1|BF268921_P1 1000 4510 208 94.4 globlastp WNU8_H562cotton|11v1|BF269646_P1 1001 4510 208 94.4 globlastp WNU8_H563euonymus|11v1|SRR070038X100282_P1 1002 4511 208 94.4 globlastp WNU8_H564euonymus|11v1|SRR070038X10269_P1 1003 4511 208 94.4 globlastp WNU8_H565euonymus|11v1|SRR070038X103854_P1 1004 4511 208 94.4 globlastp WNU8_H566euonymus|11v1|SRR070038X104549_P1 1005 4511 208 94.4 globlastp WNU8_H567euonymus|11v1|SRR070038X106777_P1 1006 4511 208 94.4 globlastp WNU8_H568euonymus|11v1|SRR070038X111303_P1 1007 4511 208 94.4 globlastp WNU8_H569euonymus|11v1|SRR070038X115972_P1 1008 4511 208 94.4 globlastp WNU8_H570euphorbia|11v1|AW862613_P1 1009 4512 208 94.4 globlastp WNU8_H571euphorbia|11v1|SRR098678X102266_P1 1010 4513 208 94.4 globlastpWNU8_H572 fraxinus|11v1|SRR058827.102102_P1 1011 4514 208 94.4 globlastpWNU8_H573 fraxinus|11v1|SRR058827.108997_P1 1012 4515 208 94.4 globlastpWNU8_H574 gnetum|10v1|CB082379_P1 1013 4516 208 94.4 globlastp WNU8_H575hevea|10v1|EC601487_P1 1014 4517 208 94.4 globlastp WNU8_H576lettuce|12v1|CV700260_P1 1015 4518 208 94.4 globlastp WNU8_H577maritime_pine|10v1|AL749939_P1 1016 4519 208 94.4 globlastp WNU8_H578melon|10v1|DV631424_P1 1017 4520 208 94.4 globlastp WNU8_H579monkeyflower|10v1|DV205853 1018 4503 208 94.4 globlastp WNU8_H580monkeyflower|10v1|DV207107 1019 4503 208 94.4 globlastp WNU8_H581nasturtium|11v1|GH163859_P1 1020 4521 208 94.4 globlastp WNU8_H582oat|11v1|G0582886_P1 1021 4522 208 94.4 globlastp WNU8_H583pepper|12v1|BM063862_P1 1022 4523 208 94.4 globlastp WNU8_H584phalaenopsis|11v1|SRR125771.1001018_P1 1023 4524 208 94.4 globlastpWNU8_H585 pine|10v2|H75081_P1 1024 4525 208 94.4 globlastp WNU8_H586podocarpus|10v1|SRR065014S0002906_P1 1025 4526 208 94.4 globlastpWNU8_H587 prunus|10v1|AJ533915 1026 4527 208 94.4 globlastp WNU8_H588pseudotsuga|10v1|GFXAY832557X1 1027 4528 208 94.4 globlastp WNU8_H589pteridium|11v1|SRR043594X102541 1028 4529 208 94.4 globlastp WNU8_H590pteridium|11v1|SRR043594X104777 1029 4530 208 94.4 globlastp WNU8_H591salvia|10v1|FJ858191 1030 4531 208 94.4 globlastp WNU8_H592sequoia|10v1|SRR065044S0007394 1031 4532 208 94.4 globlastp WNU8_H593spikemoss|gb165|FE440656 1032 4533 208 94.4 globlastp WNU8_H594spruce|11v1|ES875403 1033 4534 208 94.4 globlastp WNU8_H595tabernaemontana|11v1|SRR098689X100678 1034 4535 208 94.4 globlastpWNU8_H596 trigonella|11v1|SRR066194X74267 1035 4536 208 94.4 globlastpWNU8_H597 tripterygium|11v1|SRR098677X107031 1036 4537 208 94.4globlastp WNU8_H598 valeriana|11v1|SRR099039X100438 1037 4538 208 94.4globlastp WNU8_H599 watermelon|11v1|AB029104 1038 4539 208 94.4globlastp WNU8_H600 watermelon|11v1|CK700722 1039 4539 208 94.4globlastp WNU8_H601 amorphophallus|11v2|SRR089351X100293_T1 1040 4540208 94.22 glotblastn WNU8_H602 rye|12v1|DRR001013.151108 1041 4541 20894.21 glotblastn WNU8_H1041 chickpea|13v2|GR915502_P1 1042 4542 208 94.2globlastp WNU8_H1042 chickpea|13v2|SRR133517.111803_P1 1043 4542 20894.2 globlastp WNU8_H1043 olea|13v1|SRR014463X11728D1_P1 1044 4543 20894.2 globlastp WNU8_H1044 prunus_mume|13v1|BU045587_P1 1045 4544 20894.2 globlastp WNU8_H1045 prunus_mume|13v1|SRR345679.95461_P1 1046 4545208 94.2 globlastp WNU8_H603 amborella|12v3|CO997427_P1 1047 4546 20894.2 globlastp WNU8_H604 amorphophallus|11v2|SRR089351X10941_P1 10484547 208 94.2 globlastp WNU8_H605 arnica|11v1|SRR099034X100032_P1 10494548 208 94.2 globlastp WNU8_H606 arnica|11v1|SRR099034X100335_P1 10504549 208 94.2 globlastp WNU8_H607 arnica|11v1|SRR099034X103888_P1 10514550 208 94.2 globlastp WNU8_H608 arnica|11v1|SRR099034X116643_P1 10524550 208 94.2 globlastp WNU8_H609 catharanthus|11v1|EG554541_P1 10534551 208 94.2 globlastp WNU8_H610 chickpea|11v1|GR915502 1054 4552 20894.2 glotblastn WNU8_H611 euonymus|11v1|SRR070038X43550_P1 1055 4553 20894.2 globlastp WNU8_H612 lettuce|12v1|DW046184_P1 1056 4554 208 94.2globlastp WNU8_H613 medicago|12v1|AW684157_P1 1057 4555 208 94.2globlastp WNU8_H614 olea|11v1|SRR014463.10556 1058 4556 208 94.2globlastp WNU8_H615 phalaenopsis|11v1|CK857786_P1 1059 4557 208 94.2globlastp WNU8_H616 poppy|11v1|SRR096789.104983_P1 1060 4558 208 94.2globlastp WNU8_H617 primula|11v1|SRR098679X101131_P1 1061 4559 208 94.2globlastp WNU8_H618 prunus|10v1|BU045587 1062 4560 208 94.2 globlastpWNU8_H619 rose|12v1|BQ106350 1063 4561 208 94.2 globlastp WNU8_H620rose|12v1|SRR397984.101837 1064 4562 208 94.2 globlastp WNU8_H621scabiosa|11v1|SRR063723X101062 1065 4563 208 94.2 globlastp WNU8_H622strawberry|11v1|CO382086 1066 4564 208 94.2 globlastp WNU8_H623sunflower|12v1|EL418188 1067 4565 208 94.2 globlastp WNU8_H624thalictrum|11v1|SRR096787X100511 1068 4566 208 94.2 globlastp WNU8_H625triphysaria|10v1|BM356801 1069 4567 208 94.2 globlastp WNU8_H626triphysaria|10v1|DR174744 1070 4568 208 94.2 globlastp WNU8_H627valeriana|11v1|SRR099039X115328 1071 4569 208 94.2 globlastp WNU8_H628vinca|11v1|SRR098690X100355 1072 4570 208 94.2 globlastp WNU8_H629vinca|11v1|SRR098690X100729 1073 4571 208 94.2 globlastp WNU8_H630watermelon|11v1|BTM17968633162350 1074 4572 208 94.2 globlastpWNU8_H500, olea|13v1|SRR014463X10146D1_P1 1075 4556 208 94.2 globlastpWNU8_H614 WNU8_H610, chickpea|13v2|SRR133517.120898_P1 1076 4542 20894.2 globlastp WNU8_H997 WNU8_H1046 switchgrass|12v1|FL854656_T1 10774573 208 94.18 glotblastn WNU8_H631 ambrosia|11v1|SRR346935.194619_T11078 4574 208 94.18 glotblastn WNU8_H632 b_juncea|12v1|E6ANDIZ01A09HC_T11079 4575 208 94.18 glotblastn WNU8_H633 b_juncea|12v1|E6ANDIZ01BA83M_T11080 4576 208 94.18 glotblastn WNU8_H634 beech|11v1|SRR006293.20105_T11081 4577 208 94.18 glotblastn WNU8_H635 castorbean|11v1|RCPRD0295891082 4578 208 94.18 glotblastn WNU8_H636gossypium_raimondii|12v1|GR12V1PRD009747_T1 1083 4579 208 94.18glotblastn WNU8_H637 phalaenopsis|11v1|CB032056_T1 1084 4580 208 94.18glotblastn WNU8_H638 poppy|11v1|SRR030267.285961_T1 1085 4581 208 94.18glotblastn WNU8_H639 gossypium_raimondii|12v1|SRR032367.1025615_T1 10864582 208 94.01 glotblastn WNU8_H640 ambrosia|11v1|SRR346943.100746_P11087 4583 208 94 globlastp WNU8_H641 aquilegia|10v2|DR920295_P1 10884584 208 94 globlastp WNU8_H642 arnica|11v1|SRR099034X100789_P1 10894585 208 94 globlastp WNU8_H643 b_juncea|12v1|E6ANDIZ01A00QZ_P1 10904586 208 94 globlastp WNU8_H644 b_juncea|12v1|E6ANDIZ01A04RE_P1 10914586 208 94 globlastp WNU8_H645 b_juncea|12v1|E6ANDIZ01A05I7_P1 10924587 208 94 globlastp WNU8_H646 b_juncea|12v1|E6ANDIZ01A0DRC_P1 10934586 208 94 globlastp WNU8_H647 b_juncea|12v1|E6ANDIZ01A1Q2C_P1 10944586 208 94 globlastp WNU8_H648 b_juncea|12v1|E6ANDIZ01A1T4L_P1 10954586 208 94 globlastp WNU8_H649 b_juncea|12v1|E6ANDIZ01A2YFN_P1 10964586 208 94 globlastp WNU8_H650 b_juncea|12v1|E6ANDIZ01A3XGA_P1 10974586 208 94 globlastp WNU8_H651 b_juncea|12v1|E6ANDIZ01A4TRW1_P1 10984586 208 94 globlastp WNU8_H652 b_juncea|12v1|E6ANDIZ01A4TV2_P1 10994586 208 94 globlastp WNU8_H653 b_juncea|12v1|E6ANDIZ01A6O5I_P1 11004586 208 94 globlastp WNU8_H654 b_juncea|12v1|E6ANDIZ01A71DP_P1 11014586 208 94 globlastp WNU8_H655 b_juncea|12v1|E6ANDIZ01A7UYD_P1 11024586 208 94 globlastp WNU8_H656 b_juncea|12v1|E6ANDIZ01A8EX1_P1 11034586 208 94 globlastp WNU8_H657 b_juncea|12v1|E6ANDIZ01A98K5_P1 11044586 208 94 globlastp WNU8_H658 b_juncea|12v1|E6ANDIZ01AESP5_P1 11054586 208 94 globlastp WNU8_H659 b_juncea|12v1|E6ANDIZ01AO6V5_P1 11064586 208 94 globlastp WNU8_H660 b_juncea|12v1|E6ANDIZ01AR2C5_P1 11074586 208 94 globlastp WNU8_H661 b_rapa|11v1|BG543067_P1 1108 4586 208 94globlastp WNU8_H662 b_rapa|11v1|BG543807_P1 1109 4586 208 94 globlastpWNU8_H663 b_rapa|11v1|BNU21744_P1 1110 4586 208 94 globlastp WNU8_H664b_rapa|11v1|BQ791801_P1 1111 4586 208 94 globlastp WNU8_H665b_rapa|11v1|CD813870_P1 1112 4586 208 94 globlastp WNU8_H666b_rapa|11v1|L38205_P1 1113 4586 208 94 globlastp WNU8_H667canola|11v1|AI352739_P1 1114 4586 208 94 globlastp WNU8_H668canola|11v1|CB331912_P1 1115 4586 208 94 globlastp WNU8_H669canola|11v1|CN726590_P1 1116 4586 208 94 globlastp WNU8_H670canola|11v1|CN729818_P1 1117 4586 208 94 globlastp WNU8_H671canola|11v1|CN729909_P1 1118 4586 208 94 globlastp WNU8_H672canola|11v1|CN730343_P1 1119 4586 208 94 globlastp WNU8_H673canola|11v1|CN730658_P1 1120 4586 208 94 globlastp WNU8_H674canola|11v1|CN730882_P1 1121 4586 208 94 globlastp WNU8_H675canola|11v1|CN735190_P1 1122 4586 208 94 globlastp WNU8_H676canola|11v1|CN735423_P1 1123 4586 208 94 globlastp WNU8_H677canola|11v1|CN826026XX1_P1 1124 4586 208 94 globlastp WNU8_H678canola|11v1|CN826539_P1 1125 4586 208 94 globlastp WNU8_H679canola|11v1|CN827011_P1 1126 4586 208 94 globlastp WNU8_H680canola|11v1|CN827537_P1 1127 4586 208 94 globlastp WNU8_H681canola|11v1|CN828604_P1 1128 4586 208 94 globlastp WNU8_H682canola|11v1|DY001542_P1 1129 4586 208 94 globlastp WNU8_H683canola|11v1|DY002283_P1 1130 4586 208 94 globlastp WNU8_H684canola|11v1|DY010813_P1 1131 4586 208 94 globlastp WNU8_H685canola|11v1|EE476856_P1 1132 4586 208 94 globlastp WNU8_H686canola|11v1|EE551290_P1 1133 4586 208 94 globlastp WNU8_H687canola|11v1|EG020415_P1 1134 4586 208 94 globlastp WNU8_H688canola|11v1|SRR019557.37092_P1 1135 4586 208 94 globlastp WNU8_H689distylium|11v1|SRR065077X100439_P1 1136 4588 208 94 globlastp WNU8_H690epimedium|11v1|SRR013502.10405_P1 1137 4589 208 94 globlastp WNU8_H691euonymus|11v1|SRR070038X101785_P1 1138 4590 208 94 globlastp WNU8_H692euonymus|11v1|SRR070038X103768_P1 1139 4591 208 94 globlastp WNU8_H693marchantia|gb166|BJ841010_P1 1140 4592 208 94 globlastp WNU8_H694nasturtium|11v1|SRR032558.348984_P1 1141 4593 208 94 globlastp WNU8_H695oat|11v1|CN816326_P1 1142 4594 208 94 globlastp WNU8_H696oat|11v1|GO584378_P1 1143 4595 208 94 globlastp WNU8_H697oat|11v1|GO586922_P1 1144 4594 208 94 globlastp WNU8_H698oat|11v1|GR313243_P1 1145 4594 208 94 globlastp WNU8_H699oat|11v1|GR313302_P1 1146 4595 208 94 globlastp WNU8_H700oat|11v1|GR313710_P1 1147 4594 208 94 globlastp WNU8_H701poplar|10v1|AI166447 1148 4596 208 94 globlastp WNU8_H702sequoia|10v1|SRR065044S0000261 1149 4597 208 94 globlastp WNU8_H703taxus|10v1|SRR032523S0007597 1150 4598 208 94 globlastp WNU8_H723poplar|13v1|AI162399_P1 1151 4599 208 94 globlastp WNU8_H724poplar|13v1|AI165649_P1 1152 4600 208 94 globlastp WNU8_H704prunus|10v1|CN917657 1153 4601 208 93.99 glotblastn WNU8_H1047chickpea|13v2|SRR133517.120108_T1 1154 4602 208 93.97 glotblastnWNU8_H705 castorbean|11v1|RCPRD007088 1155 4603 208 93.97 glotblastnWNU8_H706 b_juncea|12v1|E6ANDIZ01AESGE_T1 1156 4604 208 93.96 glotblastnWNU8_H707 banana|12v1|FL657364_T1 1157 4605 208 93.96 glotblastnWNU8_H708 fraxinus|11v1|SRR058827.102633XX1_T1 1158 4606 208 93.96glotblastn WNU8_H709 maize|10v1|FL097864_T1 1159 4607 208 93.96glotblastn WNU8_H710 soybean|11v1|BE474039 1160 4608 208 93.96glotblastn WNU8_H711 soybean|11v1|BG839367 1161 4609 208 93.96glotblastn WNU8_H712 taxus|10v1|SRR065067S0001016 1162 4610 208 93.96glotblastn WNU8_H713 castorbean|11v1|SRR020784.101496 1163 4611 20893.81 glotblastn WNU8_H1048 monkeyflower|12v1|CV521399_P1 1164 4612 20893.8 globlastp WNU8_H1049 olea|13v1|SRR592583X197957D1_P1 1165 4613 20893.8 globlastp WNU8_H714 b_juncea|12v1|E6ANDIZ01A3EP6_P1 1166 4614 20893.8 globlastp WNU8_H715 b_juncea|12v1|E6ANDIZ01AQ7GF_P1 1167 4615 20893.8 globlastp WNU8_H716 b_rapa|11v1|BG544735_P1 1168 4616 208 93.8globlastp WNU8_H717 lettuce|12v1|BQ981354_P1 1169 4617 208 93.8globlastp WNU8_H718 medicago|12v1|CX524501_P1 1170 4618 208 93.8globlastp WNU8_H719 monkeyflower|10v1|CV521399 1171 4612 208 93.8globlastp WNU8_H720 pine|10v2|AW010032_P1 1172 4619 208 93.8 globlastpWNU8_H721 pine|10v2|AW010442_P1 1173 4619 208 93.8 globlastp WNU8_H722plantago|11v2|SRR066373X111879_P1 1174 4620 208 93.8 globlastp WNU8_H723poplar|10v1|AI162399 1175 4621 208 93.8 globlastp WNU8_H724poplar|10v1|AI165649 1176 4622 208 93.8 globlastp WNU8_H725poplar|10v1|BI069666 1177 4623 208 93.8 globlastp WNU8_H725poplar|13v1|BI069666_P1 1178 4623 208 93.8 globlastp WNU8_H726sunflower|12v1|DY934396 1179 4624 208 93.8 globlastp WNU8_H727trigonella|11v1|SRR066194X124381 1180 4625 208 93.8 globlastp WNU8_H728ambrosia|11v1|SRR346935.275617_T1 1181 4626 208 93.76 glotblastnWNU8_H729 b_juncea|12v1|E6ANDIZ01A3Y8Q_T1 1182 4627 208 93.74 glotblastnWNU8_H730 oil_palm|11v1|EL684389XX2_T1 1183 4628 208 93.74 glotblastnWNU8_H731 poppy|11v1|SRR030259.134858_T1 1184 4629 208 93.74 glotblastnWNU8_H732 vinca|11v1|SRR098690X101781 1185 4630 208 93.74 glotblastnWNU8_H1050 chickpea|13v2|SRR133517.233336_P1 1186 4631 208 93.7globlastp WNU8_H1051 zostera|12v1|SRR057351X102271D1_P1 1187 4632 20893.7 globlastp WNU8_H733 cephalotaxus|11v1|SRR064395X100427_P1 1188 4633208 93.7 globlastp WNU8_H734 euonymus|11v1|SRR070038X176037_P1 1189 4634208 93.7 globlastp WNU8_H735 gnetum|10v1|SRR064399S0001449_P1 1190 4635208 93.7 globlastp WNU8_H736 oil_palm|11v1|ES414440XX1_P1 1191 4636 20893.7 globlastp WNU8_H737 sciadopitys|10v1|SRR065035S0000206 1192 4637208 93.7 globlastp WNU8_H738 spruce|11v1|SRR064180X11301 1193 4638 20893.7 globlastp WNU8_H739 tripterygium|11v1|SRR098677X101200 1194 4639208 93.7 globlastp WNU8_H740 zostera|10v1|AM766058 1195 4632 208 93.7globlastp WNU8_H741 eucalyptus|11v2|CU397481_T1 1196 4640 208 93.54glotblastn WNU8_H742 thellungiella_halophilum|11v1|DN776912 1197 4641208 93.54 glotblastn WNU8_H743 aquilegia|10v2|CRPAC006620_T1 1198 4642208 93.51 glotblastn WNU8_H744 b_rapa|11v1|AM395184_T1 1199 4643 20893.51 glotblastn WNU8_H745 b_rapa|11v1|CX190853_T1 1200 4644 208 93.51glotblastn WNU8_H746 b_rapa|11v1|L37459_T1 1201 4645 208 93.51glotblastn WNU8_H747 cacao|10v1|CRPTC024018_T1 1202 4646 208 93.51glotblastn WNU8_H748 ceratodon|10v1|SRR074890S0073885_T1 1203 4647 20893.51 glotblastn WNU8_H749 oat|11v1|CN818507_T1 1204 4648 208 93.51glotblastn WNU8_H750 primula|11v1|SRR098679X221186_T1 1205 4649 20893.51 glotblastn WNU8_H751 primula|11v1|SRR098682X115682_T1 1206 4650208 93.51 glotblastn WNU8_H752 tomato|11v1|BI919315 1207 4651 208 93.51glotblastn WNU8_H1052 olea|13v1|SRR014463X22600D1_P1 1208 4652 208 93.5globlastp WNU8_H753 ceratodon|10v1|SRR074890S0003758_P1 1209 4653 20893.5 globlastp WNU8_H754 ceratodon|10v1|SRR074890S0004771_P1 1210 4653208 93.5 globlastp WNU8_H755 ceratodon|10v1|SRR074890S0005849_P1 12114653 208 93.5 globlastp WNU8_H756 ceratodon|10v1|SRR074890S0006087_P11212 4653 208 93.5 globlastp WNU8_H757ceratodon|10v1|SRR074890S0018183_P1 1213 4653 208 93.5 globlastpWNU8_H758 ceratodon|10v1|SRR074890S0020766_P1 1214 4653 208 93.5globlastp WNU8_H759 ceratodon|10v1|SRR074890S0027994_P1 1215 4653 20893.5 globlastp WNU8_H760 ceratodon|10v1|SRR074890S0031249_P1 1216 4653208 93.5 globlastp WNU8_H761 ceratodon|10v1|SRR074890S0033316_P1 12174653 208 93.5 globlastp WNU8_H762 ceratodon|10v1|SRR074890S0046096_P11218 4653 208 93.5 globlastp WNU8_H763ceratodon|10v1|SRR074890S0048907_P1 1219 4653 208 93.5 globlastpWNU8_H764 ceratodon|10v1|SRR074890S0386187_P1 1220 4653 208 93.5globlastp WNU8_H765 ceratodon|10v1|SRR074890S0537086_P1 1221 4653 20893.5 globlastp WNU8_H766 ceratodon|10v1|SRR074890S0648778_P1 1222 4653208 93.5 globlastp WNU8_H767 ceratodon|10v1|SRR074890S0653196_P1 12234653 208 93.5 globlastp WNU8_H768 ceratodon|10v1|SRR074890S0680883_P11224 4653 208 93.5 globlastp WNU8_H769ceratodon|10v1|SRR074890S1275775_P1 1225 4653 208 93.5 globlastpWNU8_H770 ceratodon|10v1|SRR074890S1284354_P1 1226 4653 208 93.5globlastp WNU8_H771 ceratodon|10v1|SRR074890S1349436_P1 1227 4653 20893.5 globlastp WNU8_H772 ceratodon|10v1|SRR074890S1778058_P1 1228 4653208 93.5 globlastp WNU8_H773 ceratodon|10v1|SRR074891S0984886_P1 12294653 208 93.5 globlastp WNU8_H774 cucumber|09v1|CSCRP010330_P1 1230 4654208 93.5 globlastp WNU8_H775 eucalyptus|11v2|CT981337_P1 1231 4655 20893.5 globlastp WNU8_H776 fraxinus|11v1|SRR058827.10011_P1 1232 4656 20893.5 globlastp WNU8_H777 marchantia|gb166|C96106_P1 1233 4657 208 93.5globlastp WNU8_H778 medicago|12v1|AW329865_P1 1234 4658 208 93.5globlastp WNU8_H779 oil_palm|11v1|SRR190698.104132_P1 1235 4659 208 93.5globlastp WNU8_H780 olea|11v1|SRR014463.17060 1236 4660 208 93.5globlastp WNU8_H803 ambrosia|11v1|SRR346949.167891_T1 1262 4686 208 93.1glotblastn WNU8_H804 b_rapa|11v1|L47954_P1 1263 4687 208 93.1 globlastpWNU8_H805 bruguiera|gb166|AB073629_P1 1264 4688 208 93.1 globlastpWNU8_H806 distylium|11v1|SRR065077X104496_P1 1265 4689 208 93.1globlastp WNU8_H807 millet|10v1|EVO454PM002208_P1 1266 4690 208 93.1globlastp WNU8_H808 sciadopitys|10v1|SRR065035S0001689 1267 4691 20893.1 globlastp WNU8_H809 spikemoss|gb165|FE427444 1268 4692 208 93.1globlastp WNU8_H810 ambrosia|11v1|GW917875_T1 1269 4693 208 93.06glotblastn WNU8_H811 ambrosia|11v1|SRR346935.107782_T1 1270 4694 20893.06 glotblastn WNU8_H812 canola|11v1|SRR329670.105751_T1 1271 4695 20893.06 glotblastn WNU8_H813 ceratodon|10v1|SRR074890S0034678_T1 1272 4696208 93.06 glotblastn WNU8_H814 ceratodon|10v1|SRR074890S0476895_T1 12734697 208 93.06 glotblastn WNU8_H815 poppy|11v1|SRR030259.112775_T1 12744698 208 93.06 glotblastn WNU8_H816 bean|12v1|PVPRD017895 1275 4699 20892.9 glotblastn WNU8_H817 canola|11v1|DY006918_P1 1276 4700 208 92.9globlastp WNU8_H818 flaveria|11v1|SRR149232.106901_P1 1277 4701 208 92.9globlastp WNU8_H819 b_rapa|11v1|CX271716_T1 1278 4702 208 92.89glotblastn WNU8_H820 flaveria|11v1|SRR149229.10363_T1 1279 4703 20892.86 glotblastn WNU8_H821 ceratodon|10v1|SRR074890S0009329_T1 1280 4704208 92.84 glotblastn WNU8_H822 ceratodon|10v1|SRR074890S0071772_T1 12814705 208 92.84 glotblastn WNU8_H823 fraxinus|11v1|SRR058827.105562_T11282 4706 208 92.84 glotblastn WNU8_H824 oil_palm|11v1|ES273650_P1 12834707 208 92.8 globlastp WNU8_H825 physcomitrella|10v1|AW126661_P1 12844708 208 92.8 globlastp WNU8_H826 physcomitrella|10v1|AW145494_P1 12854708 208 92.8 globlastp WNU8_H827 physcomitrella|10v1|AW509897_P1 12864708 208 92.8 globlastp WNU8_H828 physcomitrella|10v1|AW738891_P1 12874709 208 92.8 globlastp WNU8_H829 ceratodon|10v1|SRR074890S0609797_P11288 4710 208 92.7 globlastp WNU8_H830 millet|10v1|CD725988_P1 1289 4711208 92.7 globlastp WNU8_H831 pseudotsuga|10v1|GFXAY832556X1 1290 4712208 92.7 glotblastn WNU8_H1054 chickpea|13v2|SRR133517.249466_T1 12914713 208 92.68 glotblastn WNU8_H832 ceratodon|10v1|SRR074890S0005119_T11292 4714 208 92.62 glotblastn WNU8_H833cucurbita|11v1|SRR091276X121433_T1 1293 4715 208 92.62 glotblastnWNU8_H834 fraxinus|11v1|SRR058827.10879_T1 1294 4716 208 92.62glotblastn WNU8_H835 phalaenopsis|11v1|CB031989_T1 1295 4717 208 92.62glotblastn WNU8_H836 poppy|11v1|SRR030263.430570_T1 1296 4718 208 92.62glotblastn WNU8_H837 physcomitrella|10v1|AJ225418_P1 1297 4719 208 92.6globlastp WNU8_H838 physcomitrella|10v1|AW145551_P1 1298 4719 208 92.6globlastp WNU8_H839 physcomitrella|10v1|BJ160016_P1 1299 4720 208 92.6globlastp WNU8_H840 physcomitrella|10v1|BJ186660_P1 1300 4721 208 92.6globlastp WNU8_H841 canola|11v1|DY005831_P1 1301 4722 208 92.4 globlastpWNU8_H842 canola|11v1|EE420703_T1 1302 4723 208 92.39 glotblastnWNU8_H843 ceratodon|10v1|SRR074890S0004170_T1 1303 4724 208 92.39glotblastn WNU8_H844 cotton|11v1|CO132300_T1 1304 4725 208 92.39glotblastn WNU8_H845 phalaenopsis|11v1|SRR125771.1377153_P1 1305 4726208 92.3 globlastp WNU8_H846 ambrosia|11v1|SRR346935.202314_P1 1306 4727208 92.2 globlastp WNU8_H847 centaurea|11v1|EH788025_P1 1307 4728 20892.2 globlastp WNU8_H848 cucumber|09v1|AB029104_P1 1308 4729 208 92.2globlastp WNU8_H849 flaveria|11v1|SRR149229.294193XX2_P1 1309 4730 20892.2 globlastp WNU8_H850 ceratodon|10v1|SRR074890S0327696_P1 1310 4731208 92 globlastp WNU8_H851 ceratodon|10v1|SRR074890S0008588_T1 1311 4732208 91.96 glotblastn WNU8_H852 ambrosia|11v1|SRR346935.24735_T1 13124733 208 91.95 glotblastn WNU8_H853 eschscholzia|11v1|CD478773_T1 13134734 208 91.72 glotblastn WNU8_H854 ambrosia|11v1|SRR346935.100197_P11314 4735 208 91.7 globlastp WNU8_H855 trigonella|11v1|SRR066194X1185911315 4736 208 91.7 globlastp WNU8_H856ceratodon|10v1|SRR074890S0010775_T1 1316 4737 208 91.52 glotblastnWNU8_H857 poppy|11v1|SRR030261.55346_P1 1317 4738 208 91.5 globlastpWNU8_H858 ceratodon|10v1|SRR074890S0104947_P1 1318 4739 208 91.3globlastp WNU8_H859 wheat|12v3|BF201530 1319 4740 208 91.3 globlastpWNU8_H860 ambrosia|11v1|SRR346935.365378_T1 1320 4741 208 91.28glotblastn WNU8_H861 gossypium_raimondii|12v1|BG445555_T1 1321 4742 20891.28 glotblastn WNU8_H862 oak|10v1|DB998061_T1 1322 4743 208 91.28glotblastn WNU8_H863 sunflower|12v1|CF094003 1323 4744 208 91.28glotblastn WNU8_H864 flaveria|11v1|SRR149229.180096_P1 1324 4745 20891.1 globlastp WNU8_H865 pteridium|11v1|GW575201 1325 4746 208 91.1globlastp WNU8_H866 rye|12v1|DRR001012.135089 1326 4747 208 91.1globlastp WNU8_H867 utricularia|11v1|SRR094438.100291 1327 4748 208 90.9globlastp WNU8_H868 canola|11v1|EE540074_T1 1328 4749 208 90.83glotblastn WNU8_H869 ambrosia|11v1|SRR346935.122905_T1 1329 4750 20890.6 glotblastn WNU8_H870 rye|12v1|DRR001012.115547 1330 4751 208 90.6globlastp WNU8_H871 ambrosia|11v1|SRR346943.132429_P1 1331 4752 208 90.4globlastp WNU8_H872 oak|10v1|CU657890_P1 1332 4753 208 90.4 globlastpWNU8_H873 artemisia|10v1|SRR019254S0035817_T1 1333 4754 208 90.38glotblastn WNU8_H874 gossypium_raimondii|12v1|FE896850_T1 1334 4755 20890.38 glotblastn WNU8_H875 ambrosia|11v1|SRR346935.118240_P1 1335 4756208 90.3 globlastp WNU8_H876 medicago|12v1|CB892601_P1 1336 4757 20890.3 globlastp WNU8_H877 amorphophallus|11v2|SRR089351X12124_T1 13374758 208 90.27 glotblastn WNU8_H878 oat|11v1|GO586059_P1 1338 4759 20890.2 globlastp WNU8_H879 fraxinus|11v1|SRR058827.106715_T1 1339 4760 20890.18 glotblastn WNU8_H880 aquilegia|10v2|DR926759_P1 1340 4761 208 89.9globlastp WNU8_H881 b_rapa|11v1|EE534476_T1 1341 4762 208 89.71glotblastn WNU8_H882 strawberry|11v1|SRR034859S0001435 1342 4763 20889.71 glotblastn WNU8_H883 millet|10v1|EVO454PM023538_P1 1343 4764 20889.7 globlastp WNU8_H1055 chickpea|13v2|SRR133517.18034_T1 1344 4765 20889.65 glotblastn WNU8_H884 flaveria|11v1|SRR149229.2566_P1 1345 4766 20889.5 globlastp WNU8_H885 millet|10v1|CD724605_T1 1346 4767 208 89.49glotblastn WNU8_H886 b_juncea|12v1|E6ANDIZ01ANL2J_P1 1347 4768 208 89.4globlastp WNU8_H887 rye|12v1|BE586334 1348 4769 208 89.3 globlastpWNU8_H888 rye|12v1|DRR001012.109643 1349 4769 208 89.3 globlastpWNU8_H889 millet|10v1|EVO454PM261173_T1 1350 4770 208 89.04 glotblastnWNU8_H890 canola|11v1|CN730466_P1 1351 4771 208 88.9 globlastp WNU8_H891curcuma|10v1|DY383453_T1 1352 4772 208 88.81 glotblastn WNU8_H892rye|12v1|DRR001012.420786 1353 4773 208 88.81 glotblastn WNU8_H893tobacco|gb162|AF120093 1354 4774 208 88.7 globlastp WNU8_H894canola|11v1|DY001946_P1 1355 4775 208 88.3 globlastp WNU8_H895rye|12v1|BE494657 1356 4776 208 88.2 globlastp WNU8_H896solanum_phureja|09v1|SPHR28725 1357 4777 208 88.17 glotblastn WNU8_H897cotton|11v1|BG447263_P1 1358 4778 208 88.1 globlastp WNU8_H898ceratodon|10v1|SSRR074890S0038570_T1 1359 4779 208 87.97 glotblastnWNU8_H899 pine|10v2|AA556685_T1 1360 4780 208 87.92 glotblastn WNU8_H900pine|10v2|CD020050_T1 1361 4780 208 87.92 glotblastn WNU8_H901rye|12v1|DRR001012.248566 1362 4781 208 87.9 globlastp WNU8_H902oak|10v1|DB998952_P1 1363 4782 208 87.7 globlastp WNU8_H903wheat|12v3|BI751305 1364 4783 208 87.69 glotblastn WNU8_H904wheat|12v3|BE407061 1365 4784 208 87 globlastp WNU8_H905poppy|11v1|SRR030265.155045_T1 1366 4785 208 86.67 glotblastn WNU8_H906canola|11v1|SRR019559.16344_T1 1367 4786 208 86.58 glotblastn WNU8_H907arabidopsis_lyrata|09v1|JGIAL000755_P1 1368 4787 208 86.5 globlastpWNU8_H908 flaveria|11v1|SRR149232.37699_T1 1369 4788 208 86.41glotblastn WNU8_H909 fraxinus|11v1|SRR058827.109980_P1 1370 4789 20886.4 globlastp WNU8_H910 canola|11v1|SRR001111.56668_T1 1371 4790 20886.35 glotblastn WNU8_H911 wheat|12v3|BE418902 1372 4791 208 86.3globlastp WNU8_H912 ceratodon|10v1|SSRR074890S0013208_T1 1373 4792 20886.13 glotblastn WNU8_H913 foxtail_millet|11v3|SIPRD012298_T1 1374 4793208 86.12 glotblastn WNU8_H914 b_juncea|12v1|E6ANDIZ01A0SLK_P1 1375 4794208 86.1 globlastp WNU8_H915 cotton|11v1|ES813128_P1 1376 4795 208 86.1globlastp WNU8_H916 millet|10v1|EVO454PM014933_P1 1377 4796 208 86.1globlastp WNU8_H917 wheat|12v3|BE500164 1378 4797 208 86.1 globlastpWNU8_H918 maize|10v1|BT016906_T1 1379 4798 208 86 glotblastn WNU8_H919millet|10v1|EVO454PM094844_P1 1380 4799 208 85.9 globlastp WNU8_H920poppy|11v1|SRR096789.106870_P1 1381 4800 208 85.9 globlastp WNU8_H921eschscholzia|11v1|CD479225_P1 1382 4801 208 85.7 globlastp WNU8_H922rye|12v1|BE705268 1383 4802 208 85.7 globlastp WNU8_H923trigonella|11v1|SRR066195X227497 1384 4803 208 85.7 globlastp WNU8_H924oak|10v1|CU639938_P1 1385 4804 208 85.5 globlastp WNU8_H1056nicotiana_benthamiana|12v1|AF154660_T1 1386 4805 208 85.34 glotblastnWNU8_H1057 switchgrass|12v1|FE599218_P1 1387 4806 208 85.2 globlastpWNU8_H925 eschscholzia|11v1|CD479412_P1 1388 4807 208 85.2 globlastpWNU8_H926 oak|10v1|FP029259_P1 1389 4808 208 85.2 globlastp WNU8_H927rye|12v1|DRR001013.218454 1390 4809 208 85.01 glotblastn WNU8_H928cotton|11v1|BE054260_P1 1391 4810 208 85 globlastp WNU8_H929eschscholzia|11v1|CV000181_P1 1392 4811 208 85 globlastp WNU8_H930foxtail_millet|11v3|PHY7SI030042M_P1 1393 4812 208 85 globlastpWNU8_H931 flaveria|11v1|SRR149232.101059_P1 1394 4813 208 84.9 globlastpWNU8_H932 flaveria|11v1|SRR149232.113793_P1 1395 4814 208 84.9 globlastpWNU8_H933 banana|12v1|HQ853243_T1 1396 4815 208 84.86 glotblastnWNU8_H934 amorphophallus|11v2|SRR089351X102337_P1 1397 4816 208 84.8globlastp WNU8_H935 flaveria|11v1|SRR149229.124813_P1 1398 4817 208 84.8globlastp WNU8_H936 millet|10v1|EVO454PM040965_P1 1399 4818 208 84.8globlastp WNU8_H937 poppy|11v1|SRR096789.103347_P1 1400 4819 208 84.8globlastp WNU8_H938 thalictrum|11v1|SRR096787X100429 1401 4820 208 84.79glotblastn WNU8_H939 ambrosia|11v1|GR935679_P1 1402 4821 208 84.6globlastp WNU8_H940 ambrosia|11v1|SRR346943.103270_P1 1403 4821 208 84.6globlastp WNU8_H941 pineapple|10v1|DT336013_P1 1404 4822 208 84.6globlastp WNU8_H942 poppy|11v1|SRR096789.101574_P1 1405 4823 208 84.6globlastp WNU8_H943 trigonella|11v1|SRR066194X102555 1406 4824 208 84.6globlastp WNU8_H944 salvia|10v1|CV162295 1407 4825 208 84.4 globlastpWNU8_H945 flaveria|11v1|SRR149229.176629_T1 1408 4826 208 84.34glotblastn WNU8_H946 sunflower|12v1|CD848771 1409 4827 208 84.2globlastp WNU8_H947 eschscholzia|11v1|CD478050_T1 1410 4828 208 84.12glotblastn WNU8_H948 primula|11v1|SRR098679X101476_T1 1411 4829 20884.07 glotblastn WNU8_H1058 switchgrass|12v1|DN142142_P1 1412 4830 20883.9 globlastp WNU8_H949 ambrosia|11v1|SRR346935.258794_P1 1413 4831 20883.9 globlastp WNU8_H950 b_juncea|12v1|E6ANDIZ01A06P6_T1 1414 4832 20883.89 glotblastn WNU8_H951 millet|10v1|EB410919_P1 1415 4833 208 83.7globlastp WNU8_H952 poppy|11v1|SRR030259.104199_P1 1416 4834 208 83.7globlastp WNU8_H953 rye|12v1|DRR001012.472868 1417 4835 208 83.7globlastp WNU8_H954 tobacco|gb162|EB442628 1418 4836 208 83.7 globlastpWNU8_H955 ambrosia|11v1|SRR346935.272068_T1 1419 4837 208 83.67glotblastn WNU8_H956 phalaenopsis|11v1|SRR125771.1004285_T1 1420 4838208 83.67 glotblastn WNU8_H957 canola|11v1|EE503309_T1 1421 4839 20883.59 glotblastn WNU8_H1059 poplar|13v1|SRR037106.322926_T1 1422 4840208 83.5 glotblastn WNU8_H958 utricularia|11v1|SRR094438.101387 14234841 208 83.5 globlastp WNU8_H959 euonymus|11v1|SRR070038X11029_P1 14244842 208 83.4 globlastp WNU8_H960 flaveria|11v1|SRR149232.121875_P1 14254843 208 83.4 globlastp WNU8_H961 b_juncea|12v1|E6ANDIZ01A3F2Z_P1 14264844 208 83.3 globlastp WNU8_H962 banana|12v1|ES432203_T1 1427 4845 20883.22 glotblastn WNU8_H963 wheat|12v3|BQ245085 1428 4846 208 83.22glotblastn WNU8_H1060 chickpea|13v2|GR917090_P1 1429 4847 208 83globlastp WNU8_H964 rye|12v1|DRR001012.144376 1430 4848 208 83 globlastpWNU8_H965 rye|12v1|DRR001012.167511 1431 4849 208 83 globlastp WNU8_H966rye|12v1|DRR001012.727979 1432 4849 208 83 globlastp WNU8_H967eschscholzia|11v1|CD481374_P1 1433 4850 208 82.8 globlastp WNU8_H968primula|11v1|SRR098680X105746_P1 1434 4851 208 82.8 globlastp WNU8_H969ambrosia|11v1|SRR346935.110894_T1 1435 4852 208 82.77 glotblastnWNU8_H970 cephalotaxus|11v1|SRR064395X10013_P1 1436 4853 208 82.6globlastp WNU8_H971 euonymus|11v1|SRR070038X103334_P1 1437 4854 208 82.6globlastp WNU8_H972 pineapple|10v1|DT335789_P1 1438 4855 208 82.6globlastp WNU8_H1061 switchgrass|12v1|PVJGIV8051000_T1 1439 4856 20882.55 glotblastn WNU8_H973 chelidonium|11v1|SRR084752X107771_T1 14404857 208 82.1 glotblastn WNU8_H974 curcuma|10v1|DY388837_P1 1441 4858208 82.1 globlastp WNU8_H975 rye|12v1|BF146130 1442 4859 208 82.1globlastp WNU8_H976 vinca|11v1|SRR098690X100048 1443 4860 208 82.1globlastp WNU8_H1062 chickpea|13v2|SRR133517.728325_T1 1444 4861 20882.03 glotblastn WNU8_H1063 chickpea|13v2|SRR133517.1159_T1 1445 4862208 81.97 glotblastn WNU8_H977 eschscholzia|11v1|CD476820_P1 1446 4863208 81.9 globlastp WNU8_H978 utricularia|11v1|SRR094438.103690 1447 4864208 81.9 globlastp WNU8_H979 rye|12v1|DRR001012.558136 1448 4865 20881.88 glotblastn WNU8_H980 wheat|12v3|CA484380 1449 4866 208 81.88glotblastn WNU8_H981 canola|11v1|BNU21744XX1_P1 1450 4867 208 81.4globlastp WNU8_H982 poppy|11v1|SRR096789.100249_P1 1451 4868 208 81.4globlastp WNU8_H983 wheat|12v3|AL822116 1452 4869 208 81.29 glotblastnWNU8_H984 cotton|11v1|ES822536_T1 1453 4870 208 81.25 glotblastnWNU8_H985 lovegrass|gb167|EH185033_T1 1454 4871 208 81.21 glotblastnWNU8_H986 b_juncea|12v1|E6ANDIZ01BSCGA_P1 1455 4872 208 81.2 globlastpWNU8_H987 parthenium|10v1|GW779513_P1 1456 4873 208 81.2 globlastpWNU8_H988 orobanche|10v1|SSRR023189S0001008_P1 1457 4874 208 81.1globlastp WNU8_H989 poppy|11v1|SRR030260.128199_T1 1458 4875 208 81.06glotblastn WNU8_H990 flaveria|11v1|SRR149239.161671_P1 1459 4876 208 81globlastp WNU8_H991 marchantia|gb166|BJ848715_P1 1460 4877 208 81globlastp WNU8_H992 podocarpus|10v1|SSRR065014S0001888_P1 1461 4878 20881 globlastp WNU8_H993 canola|11v1|EV196524XX2_T1 1462 4879 208 80.98glotblastn WNU8_H994 flaveria|11v1|SRR149241.119767_T1 1463 4880 20880.76 glotblastn WNU8_H995 beech|11v1|SRR006293.10304_P1 1464 4881 20880.4 globlastp WNU8_H996 canola|11v1|SRR019556.19904_P1 1465 4882 20880.4 globlastp WNU8_H997 chickpea|11v1|AY112726 1466 4883 208 80.4globlastp WNU8_H998 canola|11v1|EE405799XX2_T1 1467 4884 208 80.31glotblastn WNU8_H999 canola|11v1|SRR329661.125622_T1 1468 4885 208 80.31glotblastn WNU9_H1 leymus|gb166|EG398632_P1 1469 4886 209 95.5 globlastpWNU9_H2 wheat|12v3|AL822016 1470 4887 209 95.5 globlastp WNU9_H3rye|12v1|DRR001012.199117 1471 4888 209 93.47 glotblastn WNU9_H4oat|11v1|GO598730_P1 1472 4889 209 86.1 globlastp WNU9_H5brachypodium|12v1|BRADI3G57060_P1 1473 4890 209 83.4 globlastp WNU9_H12switchgrass|12v1|FE624489_P1 1474 4891 209 82.5 globlastp WNU9_H6switchgrass|gb167|FE624489 1475 4892 209 82.5 globlastp WNU9_H13switchgrass|12v1|FE635297_P1 1476 4893 209 81.5 globlastp WNU9_H7maize|10v1|AI677093_P1 1477 4894 209 81.5 globlastp WNU9_H8switchgrass|gb167|FE607705 1478 4895 209 81.5 globlastp WNU9_H9sorghum|12v1|SB04G029010 1479 4896 209 81 globlastp WNU9_H10rice|11v1|AU065182 1480 4897 209 80.4 globlastp WNU9_H11foxtail_millet|11v3|PHY7SI018400M_P1 1481 4898 209 80 globlastp WNU10_H2brachypodium|12v1|BRADI3G58320_P1 1482 4899 210 88.4 globlastp WNU10_H11wheat|12v3|BQ237924 1483 4900 210 88.3 globlastp WNU10_H3brachypodium|12v1|BRADI3G58327_P1 1484 4901 210 86.4 globlastp WNU10_H5rice|11v1|AA750675 1485 4902 210 83.2 globlastp WNU10_H6foxtail_millet|11v3|PHY7SI016581M_P1 1486 4903 210 81.2 globlastpWNU10_H8 switchgrass|gb167|DN141218 1487 4904 210 81.1 globlastpWNU10_H14 switchgrass|12v1|DN141218_P1 1488 4905 210 80.9 globlastpWNU10_H15 switchgrass|12v1|FE632994_P1 1489 4906 210 80.9 globlastpWNU10_H7 sorghum|12v1|SB04G033850 1490 4907 210 80.8 globlastp WNU11_H1wheat|12v3|CA642552 1491 4908 211 92.7 globlastp WNU11_H2wheat|12v3|BQ245800 1492 4909 211 91.8 globlastp WNU11_H3wheat|12v3|BE419463 1493 4910 211 90.9 globlastp WNU11_H4rye|12v1|DRR001012.174712 1494 4911 211 90.1 globlastp WNU11_H5rye|12v1|DRR001012.157939 1495 4912 211 89.2 globlastp WNU11_H6lolium|10v1|AU247649_P1 1496 4913 211 86.5 globlastp WNU11_H7oat|11v1|CN817037_P1 1497 4914 211 85.6 globlastp WNU11_H8oat|11v1|GR333192_P1 1498 4914 211 85.6 globlastp WNU13_H1brachypodium|12v1|BRADI4G44997_T1 1499 4915 213 85.16 glotblastnWNU13_H2 wheat|12v3|AL817063 1500 4916 213 82.5 globlastp WNU13_H3rye|12v1|DRR001012.156654 1501 4917 213 82.3 globlastp WNU13_H4switchgrass|12v1|DN145145_T1 1502 4918 213 80.09 glotblastn WNU14_H1wheat|12v3|BI479735 1503 4919 214 97.7 globlastp WNU14_H2rye|12v1|DRR001012.102019 1504 4920 214 97.1 globlastp WNU14_H3rye|12v1|DRR001012.115426 1505 4921 214 97.1 globlastp WNU14_H4rye|12v1|DRR001012.156071 1506 4922 214 90.08 glotblastn WNU15_H1rye|12v1|DRR001012.112543 1507 4923 215 93 globlastp WNU15_H2wheat|12v3|BE404360 1508 4924 215 92.99 glotblastn WNU15_H3wheat|12v3|BE422752 1509 4925 215 92.8 globlastp WNU15_H4wheat|12v3|BM134630 1510 4926 215 92.8 glotblastn WNU15_H5oat|11v1|CN820180_P1 1511 4927 215 85.4 globlastp WNU15_H6brachypodium|12v1|BRADI2G17000_P1 1512 4928 215 83.4 globlastp WNU16_H1wheat|12v3|CA501314 1513 4929 216 97.2 globlastp WNU16_H2leymus|gb166|EG390149_P1 1514 4930 216 92.3 globlastp WNU16_H4switchgrass|12v1|FE626303_P1 1515 4931 216 80.9 globlastp WNU16_H5switchgrass|12v1|FL841650_P1 1516 4932 216 80.3 globlastp WNU16_H3switchgrass|gb167|FL841650 1517 4933 216 80.3 globlastp WNU17_H1wheat|12v3|BE414307 1518 217 217 100 globlastp WNU17_H2wheat|12v3|BE427605 1519 217 217 100 globlastp WNU17_H3brachypodium|12v1|BRADI2G16770_P1 1520 4934 217 99.3 globlastp WNU17_H4fescue|gb161|DT688428_P1 1521 4935 217 99.3 globlastp WNU17_H5oat|11v1|GR340361_P1 1522 4935 217 99.3 globlastp WNU17_H6oat|11v1|GR349432_P1 1523 4935 217 99.3 globlastp WNU17_H7rye|12v1|DRR001012.157480 1524 4936 217 99.3 globlastp WNU17_H8canola|11v1|CN730363_T1 1525 4937 217 98.04 glotblastn WNU17_H9b_juncea|12v1|E6ANDIZ02FND41_P1 1526 4938 217 98 globlastp WNU17_H10b_rapa|11v1|CN730363_P1 1527 4938 217 98 globlastp WNU17_H11b_rapa|11v1|L47869_P1 1528 4939 217 98 globlastp WNU17_H12barley|12v1|BI946826_P1 1529 4940 217 98 globlastp WNU17_H13canola|11v1|CN730530_P1 1530 4939 217 98 globlastp WNU17_H14leymus|gb166|EG374708_P1 1531 4940 217 98 globlastp WNU17_H15millet|10v1|EVO454PM003141_P1 1532 4941 217 98 globlastp WNU17_H16millet|10v1|EVO454PM089657_P1 1533 4941 217 98 globlastp WNU17_H17oat|11v1|GR342863_P1 1534 4940 217 98 globlastp WNU17_H18pseudoroegneria|gb167|FF340632 1535 4940 217 98 globlastp WNU17_H19rye|12v1|BE705287 1536 4940 217 98 globlastp WNU17_H20 rye|12v1|CD4532541537 4940 217 98 globlastp WNU17_H21 wheat|12v3|BE402224 1538 4940 21798 globlastp WNU17_H22 wheat|12v3|BE404292 1539 4940 217 98 globlastpWNU17_H433 monkeyflower|12v1|DV210516_P1 1540 4942 217 97.4 globlastpWNU17_H23 arabidopsis_lyrata|09v1|JGIAL001776_P1 1541 4942 217 97.4globlastp WNU17_H24 arabidopsis|10v1|AT1G16890_P1 1542 4942 217 97.4globlastp WNU17_H25 b_juncea|12v1|E6ANDIZ01A5B07_P1 1543 4942 111 97.4globlastp WNU17_H26 b_juncea|12v1|E6ANDIZ01BWYBD_P1 1544 4942 111 97.4globlastp WNU17_H27 b_juncea|12v1|E6ANDIZ01DEBC1_P1 1545 4942 111 97.4globlastp WNU17_H28 b_juncea|12v1|E6ANDIZ01EH3VM_P1 1546 4942 111 97.4globlastp WNU17_H29 b_oleracea|gb161|DY027215_P1 1547 4943 111 97.4globlastp WNU17_H30 b_oleracea|gb161|DY027796_P1 1548 4944 211 97.4globlastp WNU17_H31 b_rapa|11v1|BQ790813_P1 1549 4945 111 97.4 globlastpWNU17_H32 b_rapa|11v1|BQ791570_P1 1550 4944 211 97.4 globlastp WNU17_H33b_rapa|11v1|CD817358_P1 1551 4942 217 97.4 globlastp WNU17_H34canola|11v1|CN730552_P1 1552 4944 217 97.4 globlastp WNU17_H35canola|11v1|CN731240_P1 1553 4945 217 97.4 globlastp WNU17_H36canola|11v1|DY024565_P1 1554 4943 217 97.4 globlastp WNU17_H37canola|11v1|EG020704_P1 1555 4942 217 97.4 globlastp WNU17_H38canola|11v1|EG021063_P1 1556 4945 217 97.4 globlastp WNU17_H39canola|11v1|EV012066_P1 1557 4945 217 97.4 globlastp WNU17_H40cenchrus|gb166|BM084863_P1 1558 4946 217 97.4 globlastp WNU17_H41eggplant|10v1|FS005444_P1 1559 4942 217 97.4 globlastp WNU17_H42euonymus|11v1|SRR070038X217657_P1 1560 4942 217 97.4 globlastp WNU17_H43fescue|gb161|DT685373_P1 1561 4946 217 97.4 globlastp WNU17_H44foxtail_millet|11v3|PHY7SI023172M_P1 1562 4946 217 97.4 globlastpWNU17_H45 grape|11v1|GSVIVT01020701001_P1 1563 4942 217 97.4 globlastpWNU17_H46 lettuce|12v1|DW069539_P1 1564 4947 217 97.4 globlastpWNU17_H47 lotus|09v1|CB828211_P1 1565 4944 217 97.4 globlastp WNU17_H48monkeyflower|10v1|DV210516 1566 4942 217 97.4 globlastp WNU17_H49nasturtium|11v1|SRR032558.105835_P1 1567 4948 217 97.4 globlastpWNU17_H50 pepper|12v1|BM066751_P1 1568 4942 217 97.4 globlastp WNU17_H51phyla|11v2|SRR099037X112851_P1 1569 4942 217 97.4 globlastp WNU17_H52pigeonpea|11v1|GR472520_P1 1570 4942 217 97.4 globlastp WNU17_H53radish|gb164|EV535692 1571 4942 217 97.4 globlastp WNU17_H54radish|gb164|EV539302 1572 4942 217 97.4 globlastp WNU17_H55radish|gb164|EV567217 1573 4942 217 97.4 globlastp WNU17_H56radish|gb164|EW714058 1574 4942 217 97.4 globlastp WNU17_H57radish|gb164|EW726281 1575 4942 217 97.4 globlastp WNU17_H58radish|gb164|EX755281 1576 4942 217 97.4 globlastp WNU17_H59radish|gb164|EX765304 1577 4942 217 97.4 globlastp WNU17_H60senecio|gb170|DY665106 1578 4949 217 97.4 globlastp WNU17_H61sugarcane|11v1|AA961288 1579 4946 217 97.4 globlastp WNU17_H62thellungiella_halophilum|11v1|DN774469 1580 4950 217 97.4 globlastpWNU17_H63 thellungiella_parvulum|11v1|BY805345 1581 4942 217 97.4globlastp WNU17_H64 thellungiella_parvulum|11v1|DN774469 1582 4950 21797.4 globlastp WNU17_H65 tobacco|gb162|CV018033 1583 4942 217 97.4globlastp WNU17_H66 tobacco|gb162|EB428813 1584 4942 217 97.4 globlastpWNU17_H67 tomato|11v1|BG126290 1585 4942 217 97.4 globlastp WNU17_H68triphysaria|10v1|EY130377 1586 4951 217 97.4 globlastp WNU17_H69brachypodium|12v1|BRADI2G46290T2_T1 1587 4952 217 96.73 glotblastnWNU17_H70 centaurea|11v1|EH737366_T1 1588 4953 217 96.73 glotblastnWNU17_H71 cirsium|11v1|SRR346952.1004074_T1 1589 4954 217 96.73glotblastn WNU17_H72 cotton|11v1|DW512153_T1 1590 4955 217 96.73glotblastn WNU17_H73 salvia|10v1|SRR014553S0029303 1591 4956 217 96.73glotblastn WNU17_H434 nicotiana_benthamiana|12v1|EB428813_P1 1592 4957217 96.7 globlastp WNU17_H435 nicotiana_benthamiana|12v1|EB448956_P11593 4958 217 96.7 globlastp WNU17_H436 switchgrass|12v1|DN143106_P11594 4959 217 96.7 globlastp WNU17_H437 switchgrass|12v1|FE603001_P11595 4959 217 96.7 globlastp WNU17_H74 ambrosia|11v1|SRR346935.169112_P11596 4958 217 96.7 globlastp WNU17_H75 ambrosia|11v1|SRR346943.103583_P11597 4958 217 96.7 globlastp WNU17_H76amorphophallus|11v2|SRR089351X103836_P1 1598 4960 217 96.7 globlastpWNU17_H77 amsonia|11v1|SRR098688X10543_P1 1599 4958 217 96.7 globlastpWNU17_H78 arabidopsis_lyrata|09v1|JGIAL008169_P1 1600 4958 217 96.7globlastp WNU17_H79 arnica|11v1|SRR099034X115110_P1 1601 4958 217 96.7globlastp WNU17_H80 avocado|10v1|FD503593_P1 1602 4961 217 96.7globlastp WNU17_H81 blueberry|12v1|SRR353282X26947D1_P1 1603 4962 21796.7 globlastp WNU17_H82 canola|11v1|DY005277_P1 1604 4963 217 96.7globlastp WNU17_H83 catharanthus|11v1|EG558230_P1 1605 4958 217 96.7globlastp WNU17_H84 centaurea|11v1|EH780394_P1 1606 4958 217 96.7globlastp WNU17_H85 chestnut|gb170|SRR006295S0003346_P1 1607 4964 21796.7 globlastp WNU17_H86 cichorium|gb171|EH684694_P1 1608 4958 217 96.7globlastp WNU17_H87 cichorium|gb171|EH695309_P1 1609 4965 217 96.7globlastp WNU17_H88 clover|gb162|BB935221_P1 1610 4958 217 96.7globlastp WNU17_H89 coffea|10v1|DV665508_P1 1611 4958 217 96.7 globlastpWNU17_H90 cotton|11v1|CO495392XX1_P1 1612 4958 217 96.7 globlastpWNU17_H91 cucurbita|11v1|SRR091276X100473_P1 1613 4958 217 96.7globlastp WNU17_H92 cyamopsis|10v1|EG979319_P1 1614 4958 217 96.7globlastp WNU17_H93 cynara|gb167|GE589151_P1 1615 4958 217 96.7globlastp WNU17_H94 dandelion|10v1|DR398709_P1 1616 4958 217 96.7globlastp WNU17_H95 eggplant|10v1|FS007798_P1 1617 4958 217 96.7globlastp WNU17_H96 euonymus|11v1|SRR070038X115123_P1 1618 4966 217 96.7globlastp WNU17_H97 euonymus|11v1|SRR070038X117366_P1 1619 4967 217 96.7globlastp WNU17_H98 euphorbia|11v1|DV122132_P1 1620 4958 217 96.7globlastp WNU17_H99 flaveria|11v1|SRR149229.134328_P1 1621 4958 217 96.7globlastp WNU17_H100 flaveria|11v1|SRR149229.14807_P1 1622 4958 217 96.7globlastp WNU17_H101 flaveria|11v1|SRR149229.23144_P1 1623 4958 217 96.7globlastp WNU17_H102 flaveria|11v1|SRR149232.113312_P1 1624 4958 21796.7 globlastp WNU17_H103 flax|11v1|JG022693_P1 1625 4968 217 96.7globlastp WNU17_H104 flax|11v1|JG035547_P1 1626 4968 217 96.7 globlastpWNU17_H105 foxtail_millet|11v3|EC613913_P1 1627 4959 217 96.7 globlastpWNU17_H106 gossypium_raimondii|12v1|AI726003_P1 1628 4958 217 96.7globlastp WNU17_H107 guizotia|10v1|GE552627_P1 1629 4965 217 96.7globlastp WNU17_H108 iceplant|gb164|AI943435_P1 1630 4969 217 96.7globlastp WNU17_H109 ipomoea_batatas|10v1|EE876680_P1 1631 4970 217 96.7globlastp WNU17_H110 lettuce|12v1|DW047293_P1 1632 4958 217 96.7globlastp WNU17_H111 lotus|09v1|AW719221_P1 1633 4971 217 96.7 globlastpWNU17_H112 maize|10v1|AI621751_P1 1634 4972 217 96.7 globlastpWNU17_H113 maize|10v1|T20360_P1 1635 4973 217 96.7 globlastp WNU17_H114medicago|12v1|AA660332_P1 1636 4958 217 96.7 globlastp WNU17_H115nasturtium|11v1|GH169196_P1 1637 4974 217 96.7 globlastp WNU17_H116oak|10v1|DN950778_P1 1638 4964 217 96.7 globlastp WNU17_H117peanut|10v1|CD038839_P1 1639 4958 217 96.7 globlastp WNU17_H118peanut|10v1|EE127715_P1 1640 4958 217 96.7 globlastp WNU17_H119periwinkle|gb164|EG558230_P1 1641 4958 217 96.7 globlastp WNU17_H120petunia|gb171|FN000074_P1 1642 4970 217 96.7 globlastp WNU17_H121potato|10v1|BE919486_P1 1643 4971 217 96.7 globlastp WNU17_H122potato|10v1|BG590551_P1 1644 4975 217 96.7 globlastp WNU17_H123radish|gb164|EW733273 1645 4976 217 96.7 globlastp WNU17_H124radish|gb164|EY949993 1646 4976 217 96.7 globlastp WNU17_H125rice|11v1|BE228269 1647 4959 217 96.7 globlastp WNU17_H126safflower|gb162|EL398795 1648 4958 217 96.7 globlastp WNU17_H127solanum_phureja|09v1|SPHBG126290 1649 4975 217 96.7 globlastp WNU17_H128solanum_phureja|09v1|SPHBG134126 1650 4971 217 96.7 globlastp WNU17_H129soybean|11v1|GLYMA06G33840 1651 4977 217 96.7 globlastp WNU17_H129soybean|12v1|GLYMA06G33840_P1 1652 4977 217 96.7 globlastp WNU17_H130soybean|11v1|GLYMA13G34600 1653 4958 217 96.7 globlastp WNU17_H130soybean|12v1|GLYMA13G34600T2_P1 1654 4958 217 96.7 globlastp WNU17_H131soybean|11v1|GLYMA20G10030 1655 4978 217 96.7 globlastp WNU17_H131soybean|12v1|GLYMA20G10030_P1 1656 4978 217 96.7 globlastp WNU17_H132spurge|gb161|DV122132 1657 4958 217 96.7 globlastp WNU17_H133sunflower|12v1|CD850417 1658 4958 217 96.7 globlastp WNU17_H134sunflower|12v1|DY925368 1659 4958 217 96.7 globlastp WNU17_H135switchgrass|gb167|DN143106 1660 4959 217 96.7 globlastp WNU17_H136switchgrass|gb167|FE603001 1661 4959 217 96.7 globlastp WNU17_H137tabernaemontana|11v1|SRR098689X110278 1662 4958 217 96.7 globlastpWNU17_H138 tea|10v1|FE942783 1663 4965 217 96.7 globlastp WNU17_H139thellungiella_halophilum|11v1|BY805345 1664 4979 217 96.7 globlastpWNU17_H140 tobacco|gb162|EB427071 1665 4958 217 96.7 globlastpWNU17_H141 triphysaria|10v1|EX985155 1666 4980 217 96.7 globlastpWNU17_H142 triphysaria|10v1|EY130295 1667 4981 217 96.7 globlastpWNU17_H143 utricularia|11v1|SRR094438.102997 1668 4979 217 96.7globlastp WNU17_H144 valeriana|11v1|SRR099039X102133 1669 4965 217 96.7globlastp WNU17_H145 vinca|11v1|SRR098690X112996 1670 4965 217 96.7globlastp WNU17_H438 castorbean|12v1|EE255403_P1 1671 4982 217 96.1globlastp WNU17_H439 chickpea|13v2|FE668632_P1 1672 4983 217 96.1globlastp WNU17_H440 monkeyflower|12v1|CV521813_P1 1673 4984 217 96.1globlastp WNU17_H441 prunus_mume|13v1|BU042798_P1 1674 4985 217 96.1globlastp WNU17_H442 zostera|12v1|SRR057351X11589D1_P1 1675 4986 21796.1 globlastp WNU17_H146 antirrhinum|gb166|AJ788570_P1 1676 4987 21796.1 globlastp WNU17_H147 arabidopsis|10v1|AT1G78870_P1 1677 4988 21796.1 globlastp WNU17_H148 artemisia|10v1|EY049658_P1 1678 4989 217 96.1globlastp WNU17_H149 avocado|10v1|CK762705_P1 1679 4990 217 96.1globlastp WNU17_H150 banana|12v1|FF557470_P1 1680 4982 217 96.1globlastp WNU17_H151 beech|11v1|SRR006293.25722_P1 1681 4982 217 96.1globlastp WNU17_H152 blueberry|12v1|SRR353282X31338D1_P1 1682 4991 21796.1 globlastp WNU17_H153 bupleurum|11v1|SRR301254.137136_P1 1683 4992217 96.1 globlastp WNU17_H154 cacao|10v1|CU475181_P1 1684 4982 217 96.1globlastp WNU17_H155 cassava|09v1|DV452105_P1 1685 4982 217 96.1globlastp WNU17_H156 castorbean|11v1|EE255403 1686 4982 217 96.1globlastp WNU17_H157 cedrus|11v1|SRR065007X100480_P1 1687 4993 217 96.1globlastp WNU17_H158 centaurea|11v1|SRR346938.10212_P1 1688 4994 21796.1 globlastp WNU17_H159 chestnut|gb170|SRR006295S0005351_P1 1689 4982217 96.1 globlastp WNU17_H160 chickpea|11v1|FE668632 1690 4983 217 96.1globlastp WNU17_H161 clementine|11v1|CF417240_P1 1691 4982 217 96.1globlastp WNU17_H162 cleome_gynandra|10v1|SRR015532S0027837_P1 1692 4982217 96.1 globlastp WNU17_H163 cleome_spinosa|10v1|GR932301_P1 1693 4982217 96.1 globlastp WNU17_H164 cleome_spinosa|10v1|SRR015531S0013877_P11694 4982 217 96.1 globlastp WNU17_H165 cotton|11v1|AI726003_P1 16954995 217 96.1 globlastp WNU17_H166 cotton|11v1|AI729870_P1 1696 4982 21796.1 globlastp WNU17_H167 cotton|11v1|DT527415_P1 1697 4996 217 96.1globlastp WNU17_H168 cowpea|12v1|FC460687_P1 1698 4997 217 96.1globlastp WNU17_H169 cowpea|12v1|FF391401_P1 1699 4998 217 96.1globlastp WNU17_H170 cucumber|09v1|DV632828_P1 1700 4982 217 96.1globlastp WNU17_H171 dandelion|10v1|DR398472_P1 1701 4999 217 96.1globlastp WNU17_H172 eschscholzia|11v1|CD479283_P1 1702 5000 217 96.1globlastp WNU17_H173 euphorbia|11v1|BP961080_P1 1703 4982 217 96.1globlastp WNU17_H174 flaveria|11v1|SRR149229.121259_P1 1704 5001 21796.1 globlastp WNU17_H175 flaveria|11v1|SRR149244.109043_P1 1705 5002217 96.1 globlastp WNU17_H176 flax|11v1|GW864855_P1 1706 5003 217 96.1globlastp WNU17_H177 fraxinus|11v1|SRR058827.103663_P1 1707 4982 21796.1 globlastp WNU17_H178 fraxinus|11v1|SRR058827.107638_P1 1708 4990217 96.1 globlastp WNU17_H179 gossypium_raimondii|12v1|AI729870_P1 17094982 217 96.1 globlastp WNU17_H180 grape|11v1|GSVIVT01014215001_P1 17104982 217 96.1 globlastp WNU17_H181 guizotia|10v1|GE562307_P1 1711 5001217 96.1 globlastp WNU17_H182 humulus|11v1|EX518933_P1 1712 4983 21796.1 globlastp WNU17_H183 ipomoea_batatas|10v1|EE875329_P1 1713 5004 21796.1 globlastp WNU17_H184 ipomoea_nil|10v1|CJ747934_P1 1714 5005 21796.1 globlastp WNU17_H185 ipomoea_nil|10v1|CJ752578_P1 1715 4982 21796.1 globlastp WNU17_H186 jatropha|09v1|GT228569_P1 1716 4982 217 96.1globlastp WNU17_H187 kiwi|gb166|FG423895_P1 1717 5006 217 96.1 globlastpWNU17_H188 liquorice|gb171|FS244937_P1 1718 4982 217 96.1 globlastpWNU17_H189 maize|10v1|AA979832_P1 1719 5007 217 96.1 globlastpWNU17_H190 maize|10v1|AW171809_P1 1720 5008 217 96.1 globlastpWNU17_H191 melon|10v1|DV632828_P1 1721 4982 217 96.1 globlastpWNU17_H192 momordica|10v1|SRR071315S0000326_P1 1722 4982 217 96.1globlastp WNU17_H193 oak|10v1|FP025798_P1 1723 4982 217 96.1 globlastpWNU17_H194 olea|11v1|SRR014463.21469 1724 4990 217 96.1 globlastpWNU17_H194 olea|13v1|SRR014463X21469D1_P1 1725 4990 217 96.1 globlastpWNU17_H195 olea|11v1|SRR014463.22162 1726 4982 217 96.1 globlastpWNU17_H195 olea|13v1|SRR014463X22162D1_P1 1727 4982 217 96.1 globlastpWNU17_H196 orange|11v1|CF417240_P1 1728 4982 217 96.1 globlastpWNU17_H197 orobanche|10v1|SRR023189S0012723_P1 1729 5009 217 96.1globlastp WNU17_H198 papaya|gb165|EX231148_P1 1730 4982 217 96.1globlastp WNU17_H199 parthenium|10v1|GW778911_P1 1731 5010 217 96.1globlastp WNU17_H200 pepper|12v1|BM066122_P1 1732 5011 217 96.1globlastp WNU17_H201 phyla|11v2|SRR099035X100283_P1 1733 4987 217 96.1globlastp WNU17_H202 phyla|11v2|SRR099035X100758_P1 1734 4983 217 96.1globlastp WNU17_H203 pigeonpea|11v1|GR470024_P1 1735 4998 217 96.1globlastp WNU17_H204 plantago|11v2|SRR066373X103675_P1 1736 4982 21796.1 globlastp WNU17_H205 poppy|11v1|FG599569_P1 1737 5012 217 96.1globlastp WNU17_H206 poppy|11v1|SRR096789.122196_P1 1738 5011 217 96.1globlastp WNU17_H207 prunus|10v1|CB822666 1739 5013 217 96.1 globlastpWNU17_H208 rose|12v1|BQ103975 1740 5013 217 96.1 globlastp WNU17_H209silene|11v1|GH292005 1741 5014 217 96.1 globlastp WNU17_H210silene|11v1|GH294038 1742 5015 217 96.1 globlastp WNU17_H211sorghum|12v1|SB03G030840 1743 5007 217 96.1 globlastp WNU17_H212soybean|11v1|GLYMA12G35790 1744 5016 217 96.1 globlastp WNU17_H212soybean|12v1|GLYMA12G35790_P1 1745 5016 217 96.1 globlastp WNU17_H213strawberry|11v1|CO817378 1746 5013 217 96.1 globlastp WNU17_H214sugarcane|10v1|BQ533055 1747 5007 217 96.1 globlastp WNU17_H215sunflower|12v1|CD850786 1748 5001 217 96.1 globlastp WNU17_H216switchgrass|gb167|DN145151 1749 5017 217 96.1 globlastp WNU17_H217thalictrum|11v1|SRR096787X117438 1750 5018 217 96.1 globlastp WNU17_H218tomato|11v1|BG134126 1751 4983 217 96.1 globlastp WNU17_H219tragopogon|10v1|SRR020205S0000057 1752 5019 217 96.1 globlastpWNU17_H220 trigonella|11v1|SRR066194X104236 1753 5020 217 96.1 globlastpWNU17_H221 tripterygium|11v1|SRR098677X10016 1754 5021 217 96.1globlastp WNU17_H222 walnuts|gb166|CB303910 1755 4982 217 96.1 globlastpWNU17_H223 walnuts|gb166|CV198359 1756 4982 217 96.1 globlastpWNU17_H224 watermelon|11v1|DV632828 1757 4982 217 96.1 globlastpWNU17_H225 zostera|10v1|SRR057351S0000733 1758 4986 217 96.1 globlastpWNU17_H226 artemisia|10v1|EY098112_T1 1759 5022 217 96.08 glotblastnWNU17_H227 b_rapa|11v1|BQ704394_T1 1760 5023 217 96.08 glotblastnWNU17_H228 sarracenia|11v1|SRR192669.10343 1761 5024 217 96.08glotblastn WNU17_H229 sarracenia|11v1|SRR192669.105437 1762 5025 21796.08 glotblastn WNU17_H230 senecio|gb170|DY663326 1763 5026 217 96.08glotblastn WNU17_H231 wheat|12v3|CA486470 1764 5027 217 96.08 glotblastnWNU17_H232 ambrosia|11v1|SRR346935.112046_T1 1765 5024 217 95.42glotblastn WNU17_H233 flaveria|11v1|SRR149232.212348_T1 1766 5028 21795.42 glotblastn WNU17_H234 poppy|11v1|SRR030259.119059 _T1 1767 5029217 95.42 glotblastn WNU17_H443 bean|12v2|CA906757_P1 1768 5030 217 95.4globlastp WNU17_H235 acacia|10v1|FS588158_P1 1769 5031 217 95.4globlastp WNU17_H236 amorphophallus|11v2|SRR089351X103308_P1 1770 5032217 95.4 globlastp WNU17_H237 antirrhinum|gb166|AJ558475_P1 1771 5033217 95.4 globlastp WNU17_H238 aristolochia|10v1|FD752041_P1 1772 5034217 95.4 globlastp WNU17_H239 banana|12v1|FF559774_P1 1773 5035 217 95.4globlastp WNU17_H240 basilicum|10v1|DY340408_P1 1774 5036 217 95.4globlastp WNU17_H241 bean|12v1|CA906757 1775 5030 217 95.4 globlastpWNU17_H242 beet|12v1|EG549424_P1 1776 5037 217 95.4 globlastp WNU17_H243beet|12v1|EG550821_P1 1777 5038 217 95.4 globlastp WNU17_H244blueberry|12v1|SRR353282X43109D1_P1 1778 5039 217 95.4 globlastpWNU17_H245 blueberry|12v1|SRR353282X90355D1_P1 1779 5039 217 95.4globlastp WNU17_H246 catharanthus|11v1|AF091621_P1 1780 5040 217 95.4globlastp WNU17_H247 centaurea|11v1|EH723118_P1 1781 5041 217 95.4globlastp WNU17_H248 centaurea|11v1|EH737491_P1 1782 5041 217 95.4globlastp WNU17_H249 centaurea|11v1|EH760412_P1 1783 5041 217 95.4globlastp WNU17_H250 chelidonium|11v1|SRR084752X105322_P1 1784 5042 21795.4 globlastp WNU17_H251 cirsium|11v1|SRR346952.1008801_P1 1785 5041217 95.4 globlastp WNU17_H252 cirsium|11v1|SRR346952.102609_P1 1786 5043217 95.4 globlastp WNU17_H253 cucurbita|11v1|FG227319_P1 1787 5044 21795.4 globlastp WNU17_H254 cynara|gb167|GE588125_P1 1788 5043 217 95.4globlastp WNU17_H255 eucalyptus|11v2|CD669014_P1 1789 5045 217 95.4globlastp WNU17_H256 euonymus|11v1|SRR070038X136525_P1 1790 5046 21795.4 globlastp WNU17_H257 fagopyrum|11v1|SRR063689X102569_P1 1791 5047217 95.4 globlastp WNU17_H258 fagopyrum|11v1|SRR063689X17391_P1 17925048 217 95.4 globlastp WNU17_H259 flax|11v1|JG133969_P1 1793 5049 21795.4 globlastp WNU17_H260 fraxinus|11v1|SRR058827.169109_P1 1794 5050217 95.4 globlastp WNU17_H261 ginseng|10v1|DV555857_P1 1795 5051 21795.4 globlastp WNU17_H262 guizotia|10v1|GE555906_P1 1796 5052 217 95.4globlastp WNU17_H263 heritiera|10v1|SRR005794S0001119_P1 1797 5045 21795.4 globlastp WNU17_H264 iceplant|gb164|BE034207_P1 1798 5053 217 95.4globlastp WNU17_H265 ipomoea_batatas|10v1|DV035340_P1 1799 5054 217 95.4globlastp WNU17_H266 ipomoea_nil|10v1|CJ747207_P1 1800 5055 217 95.4globlastp WNU17_H267 kiwi|gb166|FG409170_P1 1801 5056 217 95.4 globlastpWNU17_H268 liriodendron|gb166|FD488994_P1 1802 5057 217 95.4 globlastpWNU17_H269 oil_palm|11v1|EL688490_P1 1803 5034 217 95.4 globlastpWNU17_H270 orobanche|10v1|SRR023189S0006106_P1 1804 5058 217 95.4globlastp WNU17_H271 pine|10v2|AA739766_P1 1805 5059 217 95.4 globlastpWNU17_H272 plantago|11v2|SRR066373X164128_P1 1806 5060 217 95.4globlastp WNU17_H273 poplar|10v1|AI161701 1807 5045 217 95.4 globlastpWNU17_H273 poplar|13v1|AI161701_P1 1808 5045 217 95.4 globlastpWNU17_H274 poplar|10v1|AI162761 1809 5054 217 95.4 globlastp WNU17_H274poplar|13v1|AI162761_P1 1810 5054 217 95.4 globlastp WNU17_H275poppy|11v1|SRR030259.105591_P1 1811 5061 217 95.4 globlastp WNU17_H276prunus|10v1|BU042798 1812 5062 217 95.4 globlastp WNU17_H277pseudotsuga|10v1|SRR065119S0012686 1813 5063 217 95.4 globlastpWNU17_H278 radish|gb164|EY919768 1814 5064 217 95.4 globlastp WNU17_H279safflower|gb162|EL386327 1815 5041 217 95.4 globlastp WNU17_H280salvia|10v1|SRR014553S0000609 1816 5065 217 95.4 globlastp WNU17_H281sarracenia|11v1|SRR192669.117327 1817 5066 217 95.4 globlastp WNU17_H282scabiosal|11v1|SRR063723X10994 1818 5067 217 95.4 globlastp WNU17_H283silene|11v1|GH291836 1819 5068 217 95.4 globlastp WNU17_H284sorghum|12v1|SB02G021080 1820 5069 217 95.4 globlastp WNU17_H285spruce|11v1|ES250195 1821 5070 217 95.4 globlastp WNU17_H286strawberry|11v1|DY667301 1822 5071 217 95.4 globlastp WNU17_H287sugarcane|10v1|CA066851 1823 5069 217 95.4 globlastp WNU17_H288sunflower|12v1|CF077956 1824 5072 217 95.4 globlastp WNU17_H289taxus|10v1|SRR032523S0000732XX1 1825 5073 217 95.4 globlastp WNU17_H290tragopogon|10v1|SRR020205S0002138 1826 5074 217 95.4 globlastpWNU17_H291 utricularia|11v1|SRR094438.10007 1827 5075 217 95.4 globlastpWNU17_H292 utricularia|11v1|SRR094438.109222 1828 5076 217 95.4globlastp WNU17_H293 valeriana|11v1|SRR099039X114224 1829 5067 217 95.4globlastp WNU17_H294 valeriana|11v1|SRR099039X80681 1830 5077 217 95.4globlastp WNU17_H444 bean|12v2|CA898393_P1 1831 5078 217 94.8 globlastpWNU17_H445 olea|13v1|SRR014463X11653D1_P1 1832 5079 217 94.8 globlastpWNU17_H446 switchgrass|12v1|DN152618_P1 1833 5080 217 94.8 globlastpWNU17_H295 abies|11v2|SRR098676X114290_P1 1834 5081 217 94.8 globlastpWNU17_H296 ambrosia|11v1|SRR346943.118378_P1 1835 5082 217 94.8globlastp WNU17_H297 amorphophallus|11v2|SRR089351X101818_P1 1836 5083217 94.8 globlastp WNU17_H298 arnica|11v1|SRR099034X136000_P1 1837 5082217 94.8 globlastp WNU17_H299 artemisia|10v1|GW331403_P1 1838 5084 21794.8 globlastp WNU17_H300 banana|12v1|FF560038_P1 1839 5085 217 94.8globlastp WNU17_H302 cannabis|12v1|SOLX00033268_P1 1840 5086 217 94.8globlastp WNU17_H303 cannabis|12v1|SOLX00040838_P1 1841 5086 217 94.8globlastp WNU17_H304 canola|11v1|ES899299_P1 1842 5087 217 94.8globlastp WNU17_H305 cephalotaxus|11v1|SRR064395X106265_P1 1843 5088 21794.8 globlastp WNU17_H306 cirsium|11v1|SRR346952.11489_P1 1844 5089 21794.8 globlastp WNU17_H307 cleome_gynandra|10v1|SRR015532S0000743_P1 18455090 217 94.8 globlastp WNU17_H308 cotton|11v1|AY560546_P1 1846 5091 21794.8 globlastp WNU17_H309 cotton|11v1|BF272909_P1 1847 5092 217 94.8globlastp WNU17_H310 cotton|11v1|CO092732_P1 1848 5093 217 94.8globlastp WNU17_H311 cotton|11v1|DV850261_P1 1849 5094 217 94.8globlastp WNU17_H312 cotton|11v1|SRR032367.852137_P1 1850 5091 217 94.8globlastp WNU17_H313 cycas|gb166|CB090914_P1 1851 5095 217 94.8globlastp WNU17_H314 dandelion|10v1|GO663352_P1 1852 5096 217 94.8globlastp WNU17_H315 eschscholzia|11v1|CK744884_P1 1853 5097 217 94.8globlastp WNU17_H316 fagopyrum|11v1|SRR063689X121403XX1_P1 1854 5098 21794.8 globlastp WNU17_H317 ginger|gb164|DY369735_P1 1855 5099 217 94.8globlastp WNU17_H318 gnetum|10v1|DN954342_P1 1856 5100 217 94.8globlastp WNU17_H319 gossypium_raimondii|12v1|AY560546_P1 1857 5091 21794.8 globlastp WNU17_H320 gossypium_raimondii|12v1|BF272909_P1 1858 5093217 94.8 globlastp WNU17_H321 gossypium_raimondii|12v1|DT527415_P1 18595094 217 94.8 globlastp WNU17_H322 humulus|11v1|FG345870_P1 1860 5101217 94.8 globlastp WNU17_H323 humulus|11v1|GD244056_P1 1861 5101 21794.8 globlastp WNU17_H324 humulus|11v1|SRR098683X102824_P1 1862 5101 21794.8 globlastp WNU17_H325 kiwi|gb166|FG426345_P1 1863 5102 217 94.8globlastp WNU17_H326 liriodendron|gb166|CK745391_P1 1864 5103 217 94.8globlastp WNU17_H327 maritime_pine|10v1|AL749594_P1 1865 5104 217 94.8globlastp WNU17_H328 millet|10v1|EVO454PM030933_P1 1866 5105 217 94.8globlastp WNU17_H329 olea|11v1|SRR014463.11653 1867 5079 217 94.8globlastp WNU17_H330 onion|12v1|SRR073446X118270D1_P1 1868 5106 217 94.8globlastp WNU17_H331 periwinkle|gb164|AF091621_P1 1869 5107 217 94.8globlastp WNU17_H332 phalaenopsis|11v1|SRR125771.1002079_P1 1870 5108217 94.8 globlastp WNU17_H333 phalaenopsis|11v1|SRR125771.1026536_P11871 5109 217 94.8 globlastp WNU17_H334 primula|11v1|SRR098679X107296_P11872 5110 217 94.8 globlastp WNU17_H335 radish|gb164|EV535483 1873 5111217 94.8 globlastp WNU17_H336 rose|12v1|SRR397984.120485 1874 5112 21794.8 globlastp WNU17_H337 sciadopitys|10v1|SRR065035S0012583 1875 5113217 94.8 globlastp WNU17_H338 sciadopitys|10v1|SRR065035S0075123 18765114 217 94.8 globlastp WNU17_H339 switchgrass|gb167|DN152618 1877 5080217 94.8 globlastp WNU17_H349 olea|13v1|SRR014463X30186D1_P1 1878 5115217 94.8 globlastp WNU17_H340 onion|12v1|FS210737_T1 1879 5116 217 94.77glotblastn WNU17_H341 sarracenia|11v1|SRR192669.100640 1880 5117 21794.77 glotblastn WNU17_H342 sarracenia|11v1|SRR192669.16863 1881 5118217 94.77 glotblastn WNU17_H343 tragopogon|10v1|SRR020205S0024946 18825119 217 94.77 glotblastn WNU17_H344 tripterygium|11v1|SRR098677X1047471883 5120 217 94.77 glotblastn WNU17_H345 aquilegia|10v2|JGIAC026301_P11884 5121 217 94.2 globlastp WNU17_H346 amborella|12v3|CV012534_T1 18855122 217 94.12 glotblastn WNU17_H347flaveria|11v1|SRR149229.290471XX1_T1 1886 5024 217 94.12 glotblastnWNU17_H348 fraxinus|11v1|SRR058827.135458_T1 1887 5123 217 94.12glotblastn WNU17_H349 olea|11v1|SRR014463.30186 1888 5124 217 94.12glotblastn WNU17_H447 switchgrass|12v1|FE600938_P1 1889 5125 217 94.1globlastp WNU17_H350 amsonia|11v1|SRR098688X100872_P1 1890 5126 217 94.1globlastp WNU17_H351 banana|12v1|ES431646_P1 1891 5127 217 94.1globlastp WNU17_H352 cichorium|gb171|EH709360_P1 1892 5128 217 94.1globlastp WNU17_H353 eschscholzia|11v1|SRR014116.107763_P1 1893 5129 21794.1 globlastp WNU17_H354 pineapple|10v1|DT337097_P1 1894 5130 217 94.1globlastp WNU17_H355 platanus|11v1|SRR096786X104389_P1 1895 5131 21794.1 globlastp WNU17_H356 podocarpus|10v1|SRR065014S0008331_P1 1896 5132217 94.1 globlastp WNU17_H357 spruce|11v1|ES249358 1897 5133 217 94.1globlastp WNU17_H358 spruce|11v1|EX353857 1898 5133 217 94.1 globlastpWNU17_H359 switchgrass|gb167|FE600938 1899 5125 217 94.1 globlastpWNU17_H360 tabernaemontana|11v1|SRR098689X120633 1900 5134 217 94.1globlastp WNU17_H361 zinnia|gb171|AU305997 1901 5135 217 94.1 globlastpWNU17_H362 abies|11v2|SRR098676X111177_P1 1902 5136 217 93.5 globlastpWNU17_H363 amborella|12v3|CK755984_P1 1903 5137 217 93.5 globlastpWNU17_H364 barley|12v1|BE413397_P1 1904 5138 217 93.5 globlastpWNU17_H365 distylium|11v1|SRR065077X112289_P1 1905 5139 217 93.5globlastp WNU17_H366 fagopyrum|11v1|SRR063703X105646_P1 1906 5140 21793.5 globlastp WNU17_H367 foxtail_millet|11v3|PHY7SI031377M_P1 1907 5141217 93.5 globlastp WNU17_H368 maritime_pine|10v1|BX000624_P1 1908 5142217 93.5 globlastp WNU17_H369 pine|10v2|AW010211_P1 1909 5142 217 93.5globlastp WNU17_H370 pseudoroegneria|gb167|FF362940 1910 5138 217 93.5globlastp WNU17_H371 rye|12v1|DRR001012.127556 1911 5143 217 93.5globlastp WNU17_H372 sequoia|10v1|SRR065044S0003204 1912 5144 217 93.5globlastp WNU17_H373 vinca|11v1|SRR098690X184197 1913 5145 217 93.5globlastp WNU17_H374 wheat|12v3|BM134951 1914 5138 217 93.5 globlastpWNU17_H375 wheat|12v3|BM138072 1915 5138 217 93.5 globlastp WNU17_H376cedrus|11v1|SRR065007X109223_T1 1916 5146 217 93.46 glotblastnWNU17_H377 gossypium_raimondii|12v1|SRR032881.293179_T1 1917 5147 21792.81 glotblastn WNU17_H378 podocarpus|10v1|SRR065014S0040197_T1 19185148 217 92.81 glotblastn WNU17_H379 oat|11v1|GO589794_P1 1919 5149 21792.8 globlastp WNU17_H380 platanus|11v1|SRR096786X128074_P1 1920 5150217 92.8 globlastp WNU17_H381 rhizophora|10v1|SRR005792S0000964 19215151 217 92.8 globlastp WNU17_H382 ceratodon|10v1|SRR074890S0015879_P11922 5152 217 92.3 globlastp WNU17_H383cephalotaxus|11v1|SRR064395X305668_P1 1923 5153 217 92.2 globlastpWNU17_H384 sequoia|10v1|SRR065044S0044135 1924 5154 217 92.2 globlastpWNU17_H385 distylium|11v1|SRR065077X110866_T1 1925 5155 217 92.16glotblastn WNU17_H386 pteridium|11v1|SRR043594X100139 1926 5156 21792.16 glotblastn WNU17_H387 cryptomeria|gb166|BY887735_P1 1927 5157 21791.5 globlastp WNU17_H388 spruce|11v1|CO207826 1928 5158 217 91.5glotblastn WNU17_H389 hornbeam|12v1|SRR364455.106790_T1 1929 — 217 91.5glotblastn WNU17_H390 b_juncea|12v1|E6ANDIZ01A0KI8_P1 1930 5159 217 90.8globlastp WNU17_H391 epimedium|11v1|SRR013505.12485_P1 1931 5160 21790.8 globlastp WNU17_H392 fagopyrum|11v1|SRR063689X102345_P1 1932 5161217 90.8 globlastp WNU17_H393 rhizophora|10v1|SRR005792S0000918 19335162 217 90.8 globlastp WNU17_H394 physcomitrella|10v1|AW599579_P1 19345163 217 90.4 globlastp WNU17_H395 physcomitrella|10v1|BJ941521_P1 19355164 217 90.4 globlastp WNU17_H396 ceratodon|10v1|SRR074890S0028051_P11936 5165 217 89.9 globlastp WNU17_H397 fern|gb171|DK943806_P1 1937 5166217 89.8 globlastp WNU17_H398 fraxinus|11v1|SRR058827.161949_T1 19385167 217 89.54 glotblastn WNU17_H399 apple|11v1|CN491361_P1 1939 5168217 89.5 globlastp WNU17_H400 eschscholzia|11v1|SRR014116.76220_P1 19405169 217 89.5 globlastp WNU17_H401 vinca|11v1|SRR098690X151645 1941 5170217 89.5 globlastp WNU17_H402 marchantia|gb166|C96568_P1 1942 5171 21789.2 globlastp WNU17_H403 pteridium|11v1|SRR043594X104315 1943 5172 21789.2 globlastp WNU17_H404 arnica|11v1|SRR099034X105698_P1 1944 5173 21788.9 globlastp WNU17_H405 clementine|11v1|BQ624371_P1 1945 5174 217 88.9globlastp WNU17_H406 orange|11v1|BQ624371_P1 1946 5174 217 88.9globlastp WNU17_H407 banana|12v1|MAGEN2012013021_P1 1947 5175 217 88.2globlastp WNU17_H408 radish|gb164|EV540304 1948 5176 217 88.2 globlastpWNU17_H409 cirsium|11v1|SRR346952.1008500_P1 1949 5177 217 87.6globlastp WNU17_H410 phyla|11v2|SRR099035X34188_T1 1950 5178 217 87.58glotblastn WNU17_H411 ceratodon|10v1|AW086960_P1 1951 5179 217 87.3globlastp WNU17_H412 leymus|gb166|CN466070_P1 1952 5180 217 86.5globlastp WNU18_H2 rye|12v1|BE586989 1976 218 218 100 globlastp WNU18_H3rye|12v1|BE705680 1977 218 218 100 globlastp WNU18_H4rye|12v1|DRR001012.106515 1978 218 218 100 globlastp WNU18_H5wheat|12v3|BE404152 1979 218 218 100 globlastp WNU18_H6brachypodium|12v1|BRADI4G26140_P1 1980 5202 218 96.6 globlastp WNU18_H7fescue|gb161|DT686090_P1 1981 5203 218 96 globlastp WNU18_H8lolium|10v1|AU246279_P1 1982 5203 218 96 globlastp WNU18_H9oat|11v1|GO583146_P1 1983 5204 218 96 globlastp WNU18_H10oat|11v1|GO587032_P1 1984 5204 218 96 globlastp WNU18_H11rye|12v1|DRR001012.124006 1985 5205 218 96 globlastp WNU18_H12barley|12v1|BI959091_P1 1986 5206 218 95.3 globlastp WNU18_H13foxtail_millet|11v3|PHY7SI026958M_P1 1987 5207 218 95.3 globlastpWNU18_H14 wheat|12v3|BE405456 1988 5206 218 95.3 globlastp WNU18_H15foxtail_millet|11v3|PHY7SI011704M_P1 1989 5208 218 94.6 globlastpWNU18_H16 millet|10v1|PMSLX0000156D2_P1 1990 5209 218 94.6 globlastpWNU18_H17 millet|10v1|PMSLX0033210_P1 1991 5208 218 94.6 globlastpWNU18_H18 rice|11v1|BE039864 1992 5210 218 94 globlastp WNU18_H19rice|11v1|RICRPSAAA 1993 5210 218 94 globlastp WNU18_H20rice|11v1|BI808225 1994 5211 218 93.96 glotblastn WNU18_H21brachypodium|12v1|BRADI4G43980_P1 1995 5212 218 93.3 globlastp WNU18_H22maize|10v1|AI920628_P1 1996 5213 218 93.3 globlastp WNU18_H23oat|11v1|GO587074_P1 1997 5214 218 93.3 globlastp WNU18_H24sorghum|12v1|SB08G001870 1998 5215 218 93.3 globlastp WNU18_H40switchgrass|12v1|FE642069_P1 1999 5216 218 92.6 globlastp WNU18_H41switchgrass|12v1|FL740608_P1 2000 5216 218 92.6 globlastp WNU18_H25sorghum|12v1|SB05G001680 2001 5217 218 92.6 globlastp WNU18_H26sugarcane|10v1|BQ536327 2002 5218 218 92.6 globlastp WNU18_H27sugarcane|10v1|CA066765 2003 5219 218 92.6 globlastp WNU18_H28switchgrass|gb167|DN140806 2004 5216 218 92.6 globlastp WNU18_H29switchgrass|gb167|FE642069 2005 5216 218 92.6 globlastp WNU18_H30millet|10v1|EVO454PM242725_P1 2006 5220 218 91.9 globlastp WNU18_H42switchgrass|12v1|DN147240_P1 2007 5221 218 91.3 globlastp WNU18_H31cenchrus|gb166|EB657189_P1 2008 5222 218 91.3 globlastp WNU18_H32maize|10v1|AI395919_P1 2009 5223 218 91.3 globlastp WNU18_H33switchgrass|gb167|DN147240 2010 5221 218 91.3 globlastp WNU18_H34switchgrass|gb167|FL824347 2011 5221 218 91.3 globlastp WNU18_H35maize|10v1|AW126613_T1 2012 5224 218 89.26 glotblastn WNU18_H36maize|10v1|AW146945_P1 2013 5225 218 86.9 globlastp WNU18_H37wheat|12v3|CA617476 2014 5226 218 85.91 glotblastn WNU18_H38cynodon|10v1|ES301273_P1 2015 5227 218 81.9 globlastp WNU18_H39fescue|gb161|CK801591_P1 2016 5228 218 80 globlastp WNU19_H1wheat|12v3|BE403638 2017 5229 219 99.9 globlastp WNU19_H2wheat|12v3|BE399910 2018 5230 219 99.8 globlastp WNU19_H3rye|12v1|DRR001012.138836 2019 5231 219 99.64 glotblastn WNU19_H4rye|12v1|DRR001012.148210 2020 5232 219 99.5 globlastp WNU19_H5wheat|12v3|BE400773 2021 5233 219 99.5 globlastp WNU19_H6wheat|12v3|BE400818 2022 5234 219 99.4 globlastp WNU19_H7wheat|12v3|BQ236190 2023 5235 219 99.4 globlastp WNU19_H8wheat|12v3|BF428831 2024 5236 219 99.3 globlastp WNU19_H9wheat|12v3|BE400787 2025 5237 219 99.2 globlastp WNU19_H10wheat|12v3|BE412230 2026 5238 219 98.8 globlastp WNU19_H11wheat|12v3|BE637890 2027 5239 219 98.7 glotblastn WNU19_H12rye|12v1|BE495456 2028 5240 219 98.6 globlastp WNU19_H13rye|12v1|DRR001012.102874 2029 5240 219 98.6 globlastp WNU19_H14wheat|12v3|BE402187 2030 5240 219 98.6 globlastp WNU19_H15wheat|12v3|BE591621 2031 5240 219 98.6 globlastp WNU19_H16wheat|12v3|BE400982 2032 5241 219 98.5 globlastp WNU19_H17rye|12v1|DRR001012.102774 2033 5242 219 98.46 glotblastn WNU19_H18rye|12v1|DRR001012.106463 2034 5243 219 98.46 glotblastn WNU19_H19barley|12v1|BE412416_P1 2035 5244 219 96.8 globlastp WNU19_H20brachypodium|12v1|BRADI3G44480_P1 2036 5245 219 96.8 globlastp WNU19_H21brachypodium|12v1|BRADI3G44160_P1 2037 5246 219 96.7 globlastp WNU19_H22wheat|12v3|BE400209 2038 5247 219 95.4 globlastp WNU19_H23brachypodium|12v1|BRADI2G45070_P1 2039 5248 219 94.9 globlastp WNU19_H24oat|11v1|GO583982_P1 2040 5249 219 94.9 globlastp WNU19_H25oat|11v1|GO586975_P1 2041 5249 219 94.9 globlastp WNU19_H26rice|11v1|AA749896 2042 5250 219 94.5 globlastp WNU19_H27rye|12v1|DRR001012.103583 2043 5251 219 94.42 glotblastn WNU19_H267switchgrass|12v1|FE604024_P1 2044 5252 219 94.4 globlastp WNU19_H28foxtail_millet|11v3|EC612202_P1 2045 5253 219 94.4 globlastp WNU19_H29foxtail_millet|11v3|PHY7SI020903M_P1 2046 5253 219 94.4 globlastpWNU19_H268 switchgrass|12v1|DN151890_P1 2047 5254 219 94.3 globlastpWNU19_H30 switchgrass|gb167|DN151890 2048 5254 219 94.3 globlastpWNU19_H31 rice|11v1|AA753882 2049 5255 219 94.2 globlastp WNU19_H32cenchrus|gb166|BM084104_P1 2050 5256 219 94.1 globlastp WNU19_H33millet|10v1|EVO454PM000899_T1 2051 5257 219 94.07 glotblastn WNU19_H34sorghum|12v1|SB03G034200 2052 5258 219 94 globlastp WNU19_H35sorghum|12v1|SB01G002040 2053 5259 219 93.95 glotblastn WNU19_H36rice|11v1|CK032966 2054 5260 219 93.85 glotblastn WNU19_H37maize|10v1|AI615128_P1 2055 5261 219 93.7 globlastp WNU19_H38maize|10v1|AI438426_P1 2056 5262 219 93.6 globlastp WNU19_H39maize|10v1|BE511139_P1 2057 5262 219 93.6 globlastp WNU19_H40maize|10v1|AI881430_P1 2058 5263 219 93.5 globlastp WNU19_H41wheat|12v3|BJ244184 2059 5264 219 93.2 globlastp WNU19_H269zostera|12v1|AM766155_P1 2060 5265 219 93.1 globlastp WNU19_H42zostera|10v1|AM766155 2061 5265 219 93.1 globlastp WNU19_H43oak|10v1|CU640356_P1 2062 5266 219 92.9 globlastp WNU19_H44apple|11v1|CN544862_T1 2063 5267 219 92.88 glotblastn WNU19_H270nicotiana_benthamiana|12v1|BP748244_P1 2064 5268 219 92.8 globlastpWNU19_H45 clementine|11v1|BE208967_P1 2065 5269 219 92.8 globlastpWNU19_H46 orange|11v1|BE208967_P1 2065 5269 219 92.8 globlastp WNU19_H47gossypium_raimondii|12v1|BF268145_P1 2066 5270 219 92.8 globlastpWNU19_H48 sugarcane|10v1|BQ535682 2067 5271 219 92.8 globlastpWNU19_H271 castorbean|12v1|T15194_P1 2068 5272 219 92.6 globlastpWNU19_H49 aquilegia|10v2|DT751509_P1 2069 5273 219 92.6 globlastpWNU19_H51 cotton|11v1|BF268145_P1 2070 5274 219 92.6 globlastp WNU19_H52kiwi|gb166|FG397283_P1 2071 5275 219 92.6 globlastp WNU19_H53kiwi|gb166|FG404148_P1 2072 5276 219 92.6 globlastp WNU19_H54sequoia|10v1|SRR065044S0011432XX1 2073 5277 219 92.53 glotblastnWNU19_H55 blueberry|12v1|SRR353282X12615D1_P1 2074 5278 219 92.5globlastp WNU19_H56 cacao|10v1|CA795785_P1 2075 5279 219 92.5 globlastpWNU19_H57 tripterygium|11v1|SRR098677X100553 2076 5280 219 92.5globlastp WNU19_H272 castorbean|12v1|EE255306_T1 2077 5281 219 92.41glotblastn WNU19_H273 prunus_mume|13v1|BU040103_P1 2078 5282 219 92.4globlastp WNU19_H58 blueberry|12v1|SRR353282X101483D1_P1 2079 5283 21992.4 globlastp WNU19_H59 castorbean|11v1|EE255306 2080 5284 219 92.4globlastp WNU19_H60 cotton|11v1|AI726506_P1 2081 5285 219 92.4 globlastpWNU19_H61 cotton|11v1|CO080174_P1 2082 5286 219 92.4 globlastp WNU19_H62gossypium_raimondii|12v1|AI054588_P1 2083 5285 219 92.4 globlastpWNU19_H63 tripterygium|11v1|SRR098677X100942 2084 5287 219 92.4globlastp WNU19_H64 chelidonium|11v1|SRR084752X101391_P1 2085 5288 21992.3 globlastp WNU19_H65 chestnut|gb170|SRR006295S0000411_P1 2086 5289219 92.3 globlastp WNU19_H66 cotton|11v1|BG442749_P1 2087 5290 219 92.3globlastp WNU19_H67 cucumber|09v1|DN910064_P1 2088 5291 219 92.3globlastp WNU19_H68 eucalyptus|11v2|CD668782_P1 2089 5292 219 92.3globlastp WNU19_H69 maritime_pine|10v1|BX250736_P1 2090 5293 219 92.3globlastp WNU19_H70 beech|11v1|SRR006293.21436_T1 2091 5294 219 92.29glotblastn WNU19_H71 banana|12v1|MAGEN2012002315_P1 2092 5295 219 92.2globlastp WNU19_H72 cotton|11v1|AI054588_P1 2093 5296 219 92.2 globlastpWNU19_H73 medicago|12v1|AW256374_P1 2094 5297 219 92.2 globlastpWNU19_H74 melon|10v1|DV631712_P1 2095 5298 219 92.2 globlastp WNU19_H75oil_palm|11v1|SRR190698.127955_P1 2096 5299 219 92.2 globlastp WNU19_H76watermelon|11v1|VMEL00557738492956 2097 5300 219 92.2 globlastpWNU19_H77 sequoia|10v1|SRR065044S0006876 2098 5301 219 92.17 glotblastnWNU19_H78 coffea|10v1|DV665586_P1 2099 5302 219 92.1 globlastp WNU19_H79gossypium_raimondii|12v1|AI728565_P1 2100 5303 219 92.1 globlastpWNU19_H80 pepper|12v1|BM063010_P1 2101 5304 219 92.1 globlastp WNU19_H81phyla|11v2|SRR099035X100521XX1_P1 2102 5305 219 92.1 globlastp WNU19_H82plantago|11v2|SRR066373X1002_P1 2103 5306 219 92.1 globlastp WNU19_H83poplar|10v1|AI165397 2104 5307 219 92.1 globlastp WNU19_H83poplar|13v1|AI165397_P1 2105 5308 219 92.1 globlastp WNU19_H84prunus|10v1|BU040103 2106 5309 219 92.1 globlastp WNU19_H85soybean|11v1|GLYMA08G18110 2107 5310 219 92.1 globlastp WNU19_H85soybean|12v1|GLYMA08G18110_P1 2108 5310 219 92.1 globlastp WNU19_H86spruce|11v1|ES227777 2109 5311 219 92.1 globlastp WNU19_H87watermelon|11v1|CK755729 2110 5312 219 92.1 globlastp WNU19_H88castorbean|11v1|RCPRD038497 2111 5313 219 92.05 glotblastn WNU19_H89euonymus|11v1|SRR070038X103715_T1 2112 5314 219 91.93 glotblastnWNU19_H274 bean|12v2|CA898094_P1 2113 5315 219 91.9 globlastp WNU19_H90banana|12v1|ES433164_P1 2114 5316 219 91.9 globlastp WNU19_H92cassava|09v1|CK643184_P1 2115 5317 219 91.9 globlastp WNU19_H93maritime_pine|10v1|AL751264_P1 2116 5318 219 91.9 globlastp WNU19_H94poplar|10v1|BU822969 2117 5319 219 91.9 globlastp WNU19_H94poplar|13v1|BU822969_P1 2118 5319 219 91.9 globlastp WNU19_H95potato|10v1|AJ235757_P1 2119 5320 219 91.9 globlastp WNU19_H96solanum_phureja|09v1|SPHAJ235757 2120 5321 219 91.9 globlastp WNU19_H97soybean|11v1|GLYMA15G40860 2121 5322 219 91.9 globlastp WNU19_H97soybean|12v1|GLYMA15G40860_P1 2122 5322 219 91.9 globlastp WNU19_H98switchgrass|gb167|DN142408 2123 5323 219 91.9 globlastp WNU19_H105poplar|13v1|BI120895_P1 2124 5324 219 91.9 globlastp WNU19_H99pine|10v2|BE123819_T1 2125 5325 219 91.83 glotblastn WNU19_H100cotton|11v1|EX170767_T1 2126 5326 219 91.81 glotblastn WNU19_H101cassava|09v1|CK644865_P1 2127 5327 219 91.8 globlastp WNU19_H102cowpea|12v1|FC459752_P1 2128 5328 219 91.8 globlastp WNU19_H103oil_palm|11v1|EL682836_P1 2129 5329 219 91.8 globlastp WNU19_H104peanut|10v1|ES709584_P1 2130 5330 219 91.8 globlastp WNU19_H105poplar|10v1|BI120895 2131 5331 219 91.8 globlastp WNU19_H106prunus|10v1|BU040347 2132 5332 219 91.8 globlastp WNU19_H107strawberry|11v1|AF041392 2133 5333 219 91.8 globlastp WNU19_H108tabernaemontana|11v1|SRR098689X100806 2134 5334 219 91.8 globlastpWNU19_H109 taxus|10v1|SRR032523S0000905 2135 5335 219 91.8 globlastpWNU19_H275 olea|13v1|SRR014463X19360D1_P1 2136 5336 219 91.7 globlastpWNU19_H110 arnica|11v1|SRR099034X100223_P1 2137 5337 219 91.7 globlastpWNU19_H111 cycas|gb166|CB093374_P1 2138 5338 219 91.7 globlastpWNU19_H112 eschscholzia|11v1|CD481525_T1 2139 5339 219 91.7 glotblastnWNU19_H113 lettuce|12v1|DW044734_P1 2140 5340 219 91.7 globlastpWNU19_H114 medicago|12v1|AW698719_P1 2141 5341 219 91.7 globlastpWNU19_H115 sciadopitys|10v1|SRR065035S0002676 2142 5342 219 91.7globlastp WNU19_H116 tomato|11v1|AJ235757 2143 5343 219 91.7 globlastpWNU19_H276 chickpea|13v2|FL512382_P1 2144 5344 219 91.6 globlastpWNU19_H277 zostera|12v1|SRR057351X110689D1_P1 2145 5345 219 91.6globlastp WNU19_H117 ambrosia|11v1|SRR346935.101423_P1 2146 5346 21991.6 globlastp WNU19_H118 amorphophallus|11v2|SRR089351X109177_P1 21475347 219 91.6 globlastp WNU19_H119 cannabis|12v1|GR220889_P1 2148 5348219 91.6 globlastp WNU19_H120 podocarpus|10v1|SRR065014S0000383_P1 21495349 219 91.6 globlastp WNU19_H121 poppy|11v1|SRR030259.101698 _P1 21505350 219 91.6 globlastp WNU19_H122 rose|12v1|BQ105854 2151 5351 219 91.6globlastp WNU19_H123 sunflower|12v1|DY921242 2152 5352 219 91.6globlastp WNU19_H124 vinca|11v1|SRR098690X104327 2153 5353 219 91.6globlastp WNU19_H125 zostera|10v1|SRR057351S0005594 2154 5345 219 91.6globlastp WNU19_H278 chickpea|13v2|FL512400_P1 2155 5354 219 91.5globlastp WNU19_H279 chickpea|13v2|GR913128_P1 2156 5354 219 91.5globlastp WNU19_H280 chickpea|13v2|GR915293_P1 2157 5354 219 91.5globlastp WNU19_H281 olea|13v1|SRR014463X10479D1_P1 2158 5355 219 91.5globlastp WNU19_H282 olea|13v1|SRR014463X11586D1_P1 2159 5355 219 91.5globlastp WNU19_H126 amsonia|11v1|SRR098688X106109_P1 2160 5356 219 91.5globlastp WNU19_H127 catharanthus|11v1|EG555169_P1 2161 5357 219 91.5globlastp WNU19_H128 chickpea|11v1|GR407290XX1 2162 5354 219 91.5globlastp WNU19_H128 chickpea|13v2|GR407290_P1 2163 5354 219 91.5globlastp WNU19_H129 clementine|11v1|CB250306_P1 2164 5358 219 91.5globlastp WNU19_H130 distylium|11v1|SRR065077X10471_P1 2165 5359 21991.5 globlastp WNU19_H131 euphorbia|11v1|SRR098678X100925_P1 2166 5360219 91.5 globlastp WNU19_H132 orange|11v1|CB250306_P1 2167 5361 219 91.5globlastp WNU19_H133 poppy|11v1|SRR030259.104984XX2_P1 2168 5362 21991.5 globlastp WNU19_H134 pseudotsuga|10v1|SRR065119S0000457 2169 5363219 91.5 globlastp WNU19_H135 sunflower|12v1|BU671851 2170 5364 219 91.5globlastp WNU19_H136 trigonella|11v1|SRR066194X180483 2171 5365 219 91.5globlastp WNU19_H137 vinca|11v1|SRR098690X101897 2172 5366 219 91.5globlastp WNU19_H138 watermelon|11v1|CK765820 2173 5367 219 91.5globlastp WNU19_H139 artemisia|10v1|EY033582_T1 2174 5368 219 91.46glotblastn WNU19_H140 cephalotaxus|11v1|SRR064395X100945_T1 2175 5369219 91.46 glotblastn WNU19_H141 trigonella|11v1|SRR066194X100299 21765370 219 91.46 glotblastn WNU19_H142 pigeonpea|11v1|GR467899_P1 21775371 219 91.4 globlastp WNU19_H283 chickpea|13v2|GR916248_T1 2178 5372219 91.34 glotblastn WNU19_H284 chickpea|13v2|GR401562_P1 2179 5373 21991.3 globlastp WNU19_H285 monkeyflower|12v1|DV205820_P1 2180 5374 21991.3 globlastp WNU19_H143 euonymus|11v1|SRR070038X10546_P1 2181 5375 21991.3 globlastp WNU19_H144 grape|11v1|GSVIVT01020404001_P1 2182 5376 21991.3 globlastp WNU19_H145 monkeyflower|10v1|DV205820 2183 5374 219 91.3globlastp WNU19_H146 poppy|11v1|FE967696_P1 2184 5377 219 91.3 globlastpWNU19_H147 amorphophallus|11v2|SRR089351X105225_T1 2185 5378 219 91.22glotblastn WNU19_H148 centaurea|11v1|EH762970_T1 2186 5379 219 91.22glotblastn WNU19_H149 poppy|11v1|SRR030259.104501_T1 2187 5380 219 91.22glotblastn WNU19_H150 sunflower|12v1|DY907212 2188 5381 219 91.22glotblastn WNU19_H151 aquilegia|10v2|DR917334_P1 2189 5382 219 91.2globlastp WNU19_H152 arabidopsis_lyrata|09v1|JGIAL005090_P1 2190 5383219 91.2 globlastp WNU19_H153 b_rapa|11v1|BG544120_P1 2191 5384 219 91.2globlastp WNU19_H154 poppy|11v1|FE967193_P1 2192 5385 219 91.2 globlastpWNU19_H155 poppy|11v1|SRR030264.247963_P1 2193 5386 219 91.2 globlastpWNU19_H156 poppy|11v1|SRR030266.52245_P1 2194 5387 219 91.2 globlastpWNU19_H157 rye|12v1|DRR001012.110872 2195 5388 219 91.2 globlastpWNU19_H158 valeriana|11v1|SRR099039X100187 2196 5389 219 91.2 globlastpWNU19_H159 abies|11v2|SRR098676X100456_P1 2197 5390 219 91.1 globlastpWNU19_H160 canola|11v1|EV010917_P1 2198 5391 219 91.1 globlastpWNU19_H161 cedrus|11v1|SRR065007X100657_P1 2199 5392 219 91.1 globlastpWNU19_H162 oil_palm|11v1|SRR190698.167621XX1_P1 2200 5393 219 91.1globlastp WNU19_H163 poppy|11v1|SRR030259.122349_T1 2201 5394 219 91.1glotblastn WNU19_H164 sunflower|12v1|DY906203 2202 5395 219 91.1globlastp WNU19_H165 canola|11v1|CN734558_P1 2203 5396 219 91 globlastpWNU19_H166 canola|11v1|DY010660_P1 2204 5397 219 91 globlastp WNU19_H167grape|11v1|GSVIVT01020405001_T1 2205 5398 219 91 glotblastn WNU19_H168thellungiella_halophilum|11v1|DN774158 2206 5399 219 91 globlastpWNU19_H169 dandelion|10v1|DY819449_T1 2207 5400 219 90.98 glotblastnWNU19_H170 poppy|11v1|SRR030259.293113_T1 2208 5401 219 90.98 glotblastnWNU19_H171 amorphophallus|11v2|SRR089351X101426_P1 2209 5402 219 90.9globlastp WNU19_H172 canola|11v1|DY003089_P1 2210 5403 219 90.9globlastp WNU19_H173 gossypium_raimondii|12v1|SRR032367.160520_P1 22115404 219 90.9 globlastp WNU19_H174 silene|11v1|GH294619 2212 5405 21990.9 globlastp WNU19_H175 phalaenopsis|11v1|CB033076XX1_T1 2213 5406 21990.87 glotblastn WNU19_H176 aquilegia|10v2|DR944068_P1 2214 5407 21990.8 globlastp WNU19_H177 b_rapa|11v1|BG544324_T1 2215 5408 219 90.77glotblastn WNU19_H178 b_rapa|11v1|CA992361_T1 2216 5409 219 90.75glotblastn WNU19_H179 canola|11v1|EE451187_T1 2217 5410 219 90.75glotblastn WNU19_H180 canola|11v1|SRR019559.14594_T1 2218 5411 219 90.75glotblastn WNU19_H181 pine|10v2|SRR036960S0020056_T1 2219 5412 219 90.75glotblastn WNU19_H182 amborella|12v3|CK743454_P1 2220 5413 219 90.7globlastp WNU19_H183 arabidopsis|10v1|AT1G56070_P1 2221 5414 219 90.7globlastp WNU19_H184 arnica|11v1|SRR099034X10148_P1 2222 5415 219 90.7globlastp WNU19_H185 b_rapa|11v1|CD816353_P1 2223 5416 219 90.7globlastp WNU19_H186 flaveria|11v1|SRR149229.209223_P1 2224 5417 21990.7 globlastp WNU19_H187 podocarpus|10v1|SRR065014S0003736_P1 2225 5418219 90.7 globlastp WNU19_H188 ambrosia|11v1|SRR346935.102533_T1 22265419 219 90.63 glotblastn WNU19_H189 flaveria|11v1|SRR149229.19714_T12227 5420 219 90.63 glotblastn WNU19_H190 beet|12v1|AW777202_P1 22285421 219 90.6 globlastp WNU19_H191 pigeonpea|11v1|SRR054580X127546_P12229 5422 219 90.6 globlastp WNU19_H192thellungiella_halophilum|11v1|EHPRD038761 2230 5423 219 90.53 glotblastnWNU19_H193 gnetum|10v1|SRR064399S0000663_T1 2231 5424 219 90.51glotblastn WNU19_H194 barley|12v1|HV12v1PRD005943_P1 2232 5425 219 90.5globlastp WNU19_H195 silene|11v1|SRR096785X102916 2233 5426 219 90.5globlastp WNU19_H286 monkeyflower|12v1|GR149027_P1 2234 5427 219 90.4globlastp WNU19_H196 amsonia|11v1|SRR098688X10119_P1 2235 5428 219 90.4globlastp WNU19_H197 eschscholzia|11v1|CD478945_P1 2236 5429 219 90.4globlastp WNU19_H199 sunflower|12v1|DY932904 2237 5430 219 90.15glotblastn WNU19_H200 eschscholzia|11v1|CD480167_T1 2238 5431 219 90.04glotblastn WNU19_H201 lettuce|12v1|DW121631_P1 2239 5432 219 90globlastp WNU19_H202 thellungiella_parvulum|11v1|DN774158 2240 5433 21990 globlastp WNU19_H203 rye|12v1|DRR001012.232598 2241 5434 219 89.9globlastp WNU19_H204 fern|gb171|BP911956_P1 2242 5435 219 89.8 globlastpWNU19_H205 pteridium|11v1|SRR043594X100314 2243 5436 219 89.68glotblastn WNU19_H206 ceratodon|10v1|SRR074890S0032700_P1 2244 5437 21989.4 globlastp WNU19_H207 ceratodon|10v1|SRR074890S0044795_P1 2245 5437219 89.4 globlastp WNU19_H208 ceratodon|10v1|SRR074890S0340761_P1 22465437 219 89.4 globlastp WNU19_H209 ceratodon|10v1|SRR074890S0581270_P12247 5437 219 89.4 globlastp WNU19_H210ceratodon|10v1|SRR074891S0000040_P1 2248 5437 219 89.4 globlastpWNU19_H211 phalaenopsis|11v1|CB032840_T1 2249 5438 219 89.32 glotblastnWNU19_H212 apple|11v1|MDP0000362791_P1 2250 5439 219 89.3 globlastpWNU19_H213 rye|12v1|DRR001012.192575 2251 5440 219 89.3 globlastpWNU19_H214 foxtail_millet|11v3|EC612436_T1 2252 5441 219 89.24glotblastn WNU19_H287 nicotiana_benthamiana|12v1|BP747399_P1 2253 5442219 89.2 globlastp WNU19_H215 iceplant|gb164|BE033655_P1 2254 5443 21989.2 globlastp WNU19_H216 physcomitrella|10v1|BJ160823_P1 2255 5444 21989.2 globlastp WNU19_H217 physcomitrella|10v1|BJ170123_P1 2256 5444 21989.2 globlastp WNU19_H218 cirsium|11v1|SRR346952.108438_P1 2257 5445 21989.1 globlastp WNU19_H219 euonymus|11v1|SRR070038X105533_P1 2258 5446219 89 globlastp WNU19_H220 poppy|11v1|SRR030263.471933_T1 2259 5447 21988.61 glotblastn WNU19_H221 physcomitrella|10v1|AJ225456_P1 2260 5448219 88.6 globlastp WNU19_H222 physcomitrella|10v1|AW699268_P1 2261 5448219 88.6 globlastp WNU19_H223 marchantia|gb166|AU081662_P1 2262 5449 21988.5 globlastp WNU19_H224 triphysaria|10v1|BE574729 2263 5450 219 88.5globlastp WNU19_H225 aristolochia|10v1|SRR039082S0012185_P1 2264 5451219 88.3 globlastp WNU19_H226 thellungiella_parvulum|11v1|EPPRD0078512265 5452 219 88.2 globlastp WNU19_H227 rye|12v1|BE494935 2266 5453 21988.02 glotblastn WNU19_H228 rice|11v1|CA758982 2267 5454 219 87.9globlastp WNU19_H229 b_rapa|11v1|DN960595_T1 2268 5455 219 87.78glotblastn WNU19_H230 poppy|11v1|SRR030259.100177_T1 2269 5456 219 87.78glotblastn WNU19_H231 arabidopsis|10v1|AT3G12915_T1 2270 5457 219 87.54glotblastn WNU19_H232 canola|11v1|EE482007_T1 2271 5458 219 87.29glotblastn WNU19_H233 arabidopsis_lyrata|09v1|JGIAL009721_P1 2272 5459219 87.1 globlastp WNU19_H234 flaveria|11v1|SRR149229.311595_P1 22735460 219 87 globlastp WNU19_H235 rye|12v1|DRR001012.112903 2274 5461 21986.95 glotblastn WNU19_H236 millet|10v1|CD726649_P1 2275 5462 219 86.1globlastp WNU19_H237 rye|12v1|DRR001012.106277 2276 5463 219 86.1globlastp WNU19_H238 poppy|11v1|SRR030259.124447_T1 2277 5464 219 85.88glotblastn WNU19_H239 rye|12v1|DRR001012.190424 2278 5465 219 85.53glotblastn WNU19_H240 pine|10v2|AL751264_P1 2279 5466 219 85.3 globlastpWNU19_H241 millet|10v1|CD726405_T1 2280 5467 219 85.29 glotblastnWNU19_H242 poppy|11v1|SRR030259.104877_P1 2281 5468 219 85.2 globlastpWNU19_H243 canola|11v1|DY030623_P1 2282 5469 219 84.8 globlastpWNU19_H244 cirsium|11v1|SRR346952.122084_T1 2283 5470 219 84.7glotblastn WNU19_H245 platanus|11v1|SRR096786X102681_P1 2284 5471 21984.7 globlastp WNU19_H246 rye|12v1|BE495426 2285 5472 219 84.7glotblastn WNU19_H247 thellungiella_parvulum|11v1|EPCRP021744 2286 5473219 84.7 globlastp WNU19_H248 sugarcane|10v1|BQ534204 2287 5474 219 84.6globlastp WNU19_H249 medicago|12v1|AL385115_P1 2288 5475 219 84.5globlastp WNU19_H250 rye|12v1|DRR001012.119895 2289 5476 219 84.4globlastp WNU19_H251 aristolochia|10v1|FD748819_P1 2290 5477 219 84.3globlastp WNU19_H252 pine|10v2|AW290225_T1 2291 5478 219 83.87glotblastn WNU19_H253 wheat|12v3|CA499280 2292 5479 219 83.87 glotblastnWNU19_H254 cotton|11v1|AI728565_P1 2293 5480 219 83.3 globlastpWNU19_H255 trigonella|11v1|SRR066194X118373 2294 5481 219 83.3 globlastpWNU19_H256 rye|12v1|DRR001012.198013 2295 5482 219 83.06 glotblastnWNU19_H257 cucumber|09v1|CV003974_P1 2296 5483 219 82.8 globlastpWNU19_H258 rye|12v1|BF145953 2297 5484 219 82.21 glotblastn WNU19_H259canola|11v1|CN731489_T1 2298 5485 219 81.97 glotblastn WNU19_H260poppy|11v1|SRR030259.106828_P1 2299 5486 219 81.7 globlastp WNU19_H261poppy|11v1|SRR030259.151268_T1 2300 5487 219 81.61 glotblastn WNU19_H262pigeonpea|11v1|SRR054580X132043_P1 2301 5488 219 81.5 globlastpWNU19_H263 rye|12v1|BE705036 2302 5489 219 80.8 globlastp WNU19_H288bean|12v2|SRR090491.1128737_P1 2303 5490 219 80.7 globlastp WNU19_H264poppy|11v1|SRR030259.110118_T1 2304 5491 219 80.43 glotblastn WNU19_H265bean|12v1|SRR001335.271437 2305 5492 219 80.2 globlastp WNU19_H266pteridium|11v1|SRR043594X10372 2306 5493 219 80.07 glotblastn WNU20_H1wheat|12v3|BE500467 2307 5494 220 99.4 globlastp WNU20_H2rye|12v1|DRR001012.111146 2308 5495 220 98.9 globlastp WNU20_H3wheat|12v3|CD902583 2309 5496 220 98.9 globlastp WNU20_H4wheat|12v3|BE405418 2310 5497 220 98.7 globlastp WNU20_H5wheat|12v3|CD936120 2311 5498 220 98.7 globlastp WNU20_H6brachypodium|12v1|BRADI3G42010_P1 2312 5499 220 95.5 globlastp WNU20_H7oat|11v1|GO590260_P1 2313 5500 220 94.5 globlastp WNU20_H8rice|11v1|AA749701 2314 5501 220 90.9 globlastp WNU20_H9sorghum|12v1|SB07G025240 2315 5502 220 89.2 globlastp WNU20_H10sorghum|12v1|SB02G030270 2316 5503 220 88.9 globlastp WNU20_H11sugarcane|10v1|BQ533680 2317 5504 220 88.9 globlastp WNU20_H12foxtail_millet|11v3|PHY7SI029736M_P1 2318 5505 220 88.7 globlastpWNU20_H26 switchgrass|12v1|DN146648_P1 2319 5506 220 88.5 globlastpWNU20_H13 maize|10v1|AI491230_P1 2320 5507 220 88.3 globlastp WNU20_H14sugarcane|10v1|CA131260 2321 5508 220 88.3 globlastp WNU20_H15switchgrass|gb167|FL694429 2322 5509 220 88.3 globlastp LYD75_H35switchgrass|12v1|FE638577_P1 2323 5510 220 87.9 globlastp WNU20_H16millet|10v1|EVO454PM001616_P1 2324 5511 220 87.9 globlastp WNU20_H17cenchrus|gb166|EB656001_T1 2325 5512 220 87.23 glotblastn WNU20_H18rice|11v1|AU082931 2326 5513 220 87 globlastp WNU20_H19switchgrass|gb167|FE610787 2327 5514 220 80.7 globlastp WNU20_H27switchgrass|12v1|FE610787_P1 2328 5515 220 80.5 globlastp WNU20_H20brachypodium|12v1|BRADI1G77290_P1 2329 5516 220 80.5 globlastp WNU20_H21foxtail_millet|11v3|PHY7SI035565M_P1 2330 5517 220 80.5 globlastpWNU20_H22 rice|11v1|BI796408 2331 5518 220 80.3 globlastp WNU20_H23sorghum|12v1|SB01G049310 2332 5519 220 80.3 globlastp WNU20_H24oil_palm|11v1|EL691753_P1 2333 5520 220 80.2 globlastp WNU20_H25maize|10v1|AW052854_P1 2334 5521 220 80 globlastp WNU22_H2rye|12v1|DRR001012.160458 2335 5522 222 90.8 globlastp WNU22_H3oat|11v1|GR353093_P1 2336 5523 222 81.5 globlastp WNU23_H1barley|12v1|AK367025_P1 2337 5524 223 99.8 globlastp WNU23_H2rye|12v1|BE586979 2338 5525 223 97.8 globlastp WNU23_H3wheat|12v3|BE401772 2339 5526 223 97.51 glotblastn WNU23_H4pseudoroegneria|gb167|FF350262 2340 5527 223 97.5 globlastp WNU23_H5brachypodium|12v1|BRADI4G27550_P1 2341 5528 223 93.3 globlastp WNU23_H6oat|11v1|CN814765_P1 2342 5529 223 92.8 globlastp WNU23_H7sorghum|12v1|SB02G020360 2343 5530 223 82.8 globlastp WNU23_H8sugarcane|10v1|CA067379 2344 5531 223 81.3 globlastp WNU23_H9rice|11v1|AA231803 2345 5532 223 81.2 globlastp WNU23_H15switchgrass|12v1|FE603748_P1 2346 5533 223 80.9 globlastp WNU23_H10maize|10v1|ZMU66403_P1 2347 5534 223 80.9 globlastp WNU23_H11switchgrass|gb167|FE603748 2348 5535 223 80.4 globlastp WNU23_H12maize|10v1|ZMU66404_P1 2349 5536 223 80.2 globlastp WNU23_H13millet|10v1|EVO454PM003523_P1 2350 5537 223 80.2 globlastp WNU23_H14foxtail_millet|11v3|EC613874_P1 2351 5538 223 80.1 globlastp WNU25_H1wheat|12v3|BE399516 2352 224 224 100 globlastp WNU25_H2rye|12v1|DRR001012.10261 2353 5539 224 99.1 globlastp WNU25_H3oat|11v1|GO582349_P1 2354 5540 224 97.3 globlastp WNU25_H4oat|11v1|GO586833_P1 2355 5541 224 97.3 globlastp WNU25_H5lolium|10v1|AU250680_P1 2356 5542 224 96.4 globlastp WNU25_H6oat|11v1|GR318164_P1 2357 5543 224 96.4 globlastp WNU25_H7brachypodium|12v1|BRADI3G60180_P1 2358 5544 224 94.6 globlastp WNU25_H8cynodon|10v1|ES293470_P1 2359 5545 224 91.1 globlastp WNU25_H9cenchrus|gb166|EB654878_P1 2360 5546 224 90.2 globlastp WNU25_H10foxtail_millet|11v3|PHY7SI019343M_P1 2361 5546 224 90.2 globlastpWNU25_H11 millet|10v1|CD726269_P1 2362 5546 224 90.2 globlastp WNU25_H12millet|10v1|EVO454PM078222_P1 2363 5546 224 90.2 globlastp WNU25_H243switchgrass|12v1|DN144110_P1 2364 5547 224 89.3 globlastp WNU25_H13lovegrass|gb167|EH184754_P1 2365 5548 224 89.3 globlastp WNU25_H14maize|10v1|AI586898_P1 2366 5549 224 89.3 globlastp WNU25_H15maize|10v1|AI920462_P1 2367 5550 224 89.3 globlastp WNU25_H16sorghum|12v1|SB04G035260 2368 5551 224 89.3 globlastp WNU25_H17sugarcane|10v1|CA085045 2369 5551 224 89.3 globlastp WNU25_H18switchgrass|gb167|DN144110 2370 5547 224 89.3 globlastp WNU25_H19switchgrass|gb167|FE605308 2371 5552 224 89.3 globlastp WNU25_H244switchgrass|12v1|FE605308_T1 2372 5553 224 89.29 glotblastn WNU25_H20barley|12v1|BF621135_P1 2373 5554 224 88.4 globlastp WNU25_H21foxtail_millet|11v3|EC613076_P1 2374 5555 224 88.4 globlastp WNU25_H22maize|10v1|AI861705_P1 2375 5555 224 88.4 globlastp WNU25_H23oat|11v1|GO585912_P1 2376 5556 224 88.4 globlastp WNU25_H24sorghum|12v1|SB02G022800 2377 5555 224 88.4 globlastp WNU25_H25sorghum|12v1|SB10G006160 2378 5555 224 88.4 globlastp WNU25_H26sugarcane|10v1|CA073479 2379 5555 224 88.4 globlastp WNU25_H27sugarcane|10v1|CA080489 2380 5555 224 88.4 globlastp WNU25_H28switchgrass|gb167|DN144952 2381 5555 224 88.4 globlastp WNU25_H29wheat|12v3|CA617426 2382 5557 224 88.4 globlastp WNU25_H245switchgrass|12v1|DN144952_P1 2383 5558 224 87.5 globlastp WNU25_H30brachypodium|12v1|BRADI1G46840T2_P1 2384 5559 224 87.5 globlastpWNU25_H31 maize|10v1|AI649449_P1 2385 5560 224 87.5 globlastp WNU25_H32oat|11v1|GO587688_P1 2386 5561 224 87.5 globlastp WNU25_H33pseudoroegneria|gb167|FF340444 2387 5562 224 87.5 globlastp WNU25_H34rice|11v1|BI798607 2388 5563 224 87.5 globlastp WNU25_H35wheat|12v3|CA484758 2389 5564 224 87.5 globlastp WNU25_H246switchgrass|12v1|FE598493_P1 2390 5565 224 86.6 globlastp WNU25_H36brachypodium|12v1|BRADI4G16690T3_P1 2391 5566 224 86.6 globlastpWNU25_H37 rye|12v1|BE587162 2392 5567 224 86.6 globlastp WNU25_H38rye|12v1|DRR001012.117644 2393 5567 224 86.6 globlastp WNU25_H39rye|12v1|DRR001012.126188 2394 5567 224 86.6 globlastp WNU25_H40rye|12v1|DRR001013.116024 2395 5567 224 86.6 globlastp WNU25_H41switchgrass|gb167|FE598493 2396 5565 224 86.6 globlastp WNU25_H42wheat|12v3|BE398239 2397 5568 224 86.6 globlastp WNU25_H43wheat|12v3|BE415850 2398 5568 224 86.6 globlastp WNU25_H247switchgrass|12v1|FE612122_P1 2399 5569 224 84.8 globlastp WNU25_H248switchgrass|12v1|FL823395_P1 2400 5570 224 84.8 globlastp WNU25_H44millet|10v1|EVO454PM026346_P1 2401 5569 224 84.8 globlastp WNU25_H45switchgrass|gb167|FE612122 2402 5570 224 84.8 globlastp WNU25_H46thellungiella_parvulum|11v1|EC599854 2403 5571 224 83.93 glotblastnWNU25_H47 foxtail_millet|11v3|PHY7SI023690M_P1 2404 5572 224 83.9globlastp WNU25_H48 sugarcane|10v1|CA280291 2405 5573 224 83.9 globlastpWNU25_H49 oil_palm|11v1|EL682917_T1 2406 5574 224 83.04 glotblastnWNU25_H50 cenchrus|gb166|EB652816_P1 2407 5575 224 83 globlastpWNU25_H51 oil_palm|11v1|EL683598_P1 2408 5576 224 83 globlastp WNU25_H52oil_palm|11v1|EL693872_P1 2409 5576 224 83 globlastp WNU25_H53oil_palm|11v1|SRR190698.190267_P1 2410 5576 224 83 globlastp WNU25_H54phalaenopsis|11v1|CK856294_P1 2411 5577 224 83 globlastp WNU25_H55pineapple|10v1|DT336564_P1 2412 5578 224 83 globlastp WNU25_H56sorghum|12v1|SB09G027930 2413 5579 224 83 globlastp WNU25_H57tripterygium|11v1|SRR098677X101244 2414 5580 224 83 globlastp WNU25_H58onion|12v1|SRR073446X10568D1_T1 2415 5581 224 82.14 glotblastn WNU25_H59ambrosia|11v1|SRR346943.142368_P1 2416 5582 224 82.1 globlastp WNU25_H60ambrosia|11v1|SRR346943.21771_P1 2417 5582 224 82.1 globlastp WNU25_H61amorphophallus|11v2|SRR089351X101954_P1 2418 5583 224 82.1 globlastpWNU25_H62 arabidopsis_lyrata|09v1|JGIAL007699_P1 2419 5584 224 82.1globlastp WNU25_H63 arabidopsis|10v1|AT1G74270_P1 2420 5584 224 82.1globlastp WNU25_H64 arnica|11v1|SRR099034X108607_P1 2421 5585 224 82.1globlastp WNU25_H65 banana|12v1|FL646653_P1 2422 5586 224 82.1 globlastpWNU25_H66 banana|12v1|FL657827_P1 2423 5587 224 82.1 globlastp WNU25_H67banana|12v1|FL658310_P1 2424 5588 224 82.1 globlastp WNU25_H68brachypodium|12v1|BRADI2G17180_P1 2425 5589 224 82.1 globlastp WNU25_H69epimedium|11v1|SRR013502.11986_P1 2426 5590 224 82.1 globlastp WNU25_H70fagopyrum|11v1|SRR063703X132083_P1 2427 5591 224 82.1 globlastpWNU25_H71 flaveria|11v1|SRR149229.210796_P1 2428 5592 224 82.1 globlastpWNU25_H72 oil_palm|11v1|EL681302_P1 2429 5593 224 82.1 globlastpWNU25_H73 oil_palm|11v1|EL690268_P1 2430 5593 224 82.1 globlastpWNU25_H74 oil_palm|11v1|SRR190698.163775_P1 2431 5593 224 82.1 globlastpWNU25_H75 oil_palm|11v1|SRR190698.471823_P1 2432 5593 224 82.1 globlastpWNU25_H76 oil_palm|11v1|SRR190700.314411_P1 2433 5593 224 82.1 globlastpWNU25_H77 onion|12v1|SRR073446X102051D1_P1 2434 5594 224 82.1 globlastpWNU25_H78 primula|11v1|SRR098679X100031_P1 2435 5595 224 82.1 globlastpWNU25_H79 primula|11v1|SRR098679X101714_P1 2436 5595 224 82.1 globlastpWNU25_H80 primula|11v1|SRR098679X121607_P1 2437 5595 224 82.1 globlastpWNU25_H81 primula|11v1|SRR098679X131815_P1 2438 5595 224 82.1 globlastpWNU25_H82 thellungiella_halophilum|11v1|EHJGI11002045 2439 5596 224 82.1globlastp WNU25_H83 thellungiella_parvulum|11v1|EPCRP000289 2440 5597224 82.1 globlastp WNU25_H84 b_rapa|11v1|BG545012_T1 2441 5598 224 81.25glotblastn WNU25_H85 heritiera|10v1|SRR005795S0038179_T1 2442 5599 22481.25 glotblastn WNU25_H86 primula|11v1|SRR098679X114257_T1 2443 5600224 81.25 glotblastn WNU25_H87 primula|11v1|SRR098679X130378_T1 24445601 224 81.25 glotblastn WNU25_H88 rye|12v1|DRR001013.103374 2445 5602224 81.25 glotblastn WNU25_H89 thellungiella_halophilum|11v1|EC5998542446 5603 224 81.25 glotblastn WNU25_H249 zostera|12v1|AM766870_P1 24475604 224 81.2 globlastp WNU25_H90 amborella|12v3|FD442449_P1 2448 5605224 81.2 globlastp WNU25_H91 ambrosia|11v1|SRR346943.215855_P1 2449 5606224 81.2 globlastp WNU25_H92 amorphophallus|11v2|SRR089351X100036_P12450 5607 224 81.2 globlastp WNU25_H93 amsonia|11v1|SRR098688X104552_P12451 5608 224 81.2 globlastp WNU25_H94 antirrhinum|gb166|AJ558790_P12452 5609 224 81.2 globlastp WNU25_H95 antirrhinum|gb166|AJ559611_P12453 5609 224 81.2 globlastp WNU25_H96 aquilegia|10v2|JGIAC007651_P12454 5610 224 81.2 globlastp WNU25_H97arabidopsis_lyrata|09v1|JGIAL000666_P1 2455 5611 224 81.2 globlastpWNU25_H98 arabidopsis|10v1|AT1G07070_P1 2456 5611 224 81.2 globlastpWNU25_H99 b_juncea|12v1|E6ANDIZ01AH3RZ_P1 2457 5612 224 81.2 globlastpWNU25_H100 b_juncea|12v1|E6ANDIZ01AL5IF_P1 2458 5612 224 81.2 globlastpWNU25_H101 b_juncea|12v1|E6ANDIZ01AMZL3_P1 2459 5612 224 81.2 globlastpWNU25_H102 b_juncea|12v1|E6ANDIZ01AZ4GX_P1 2460 5612 224 81.2 globlastpWNU25_H103 b_juncea|12v1|E6ANDIZ01BFBB2_P1 2461 5612 224 81.2 globlastpWNU25_H104 b_juncea|12v1|E6ANDIZ01BGXW0_P1 2462 5613 224 81.2 globlastpWNU25_H105 b_juncea|12v1|E6ANDIZ01C4ROX_P1 2463 5612 224 81.2 globlastpWNU25_H106 b_oleracea|gb161|DY027311_P1 2464 5612 224 81.2 globlastpWNU25_H107 b_oleracea|gb161|DY028809_P1 2465 5612 224 81.2 globlastpWNU25_H108 b_oleracea|gb161|DY029302_P1 2466 5612 224 81.2 globlastpWNU25_H109 b_rapa|11v1|BG544760_P1 2467 5612 224 81.2 globlastpWNU25_H110 b_rapa|11v1|CD822482_P1 2468 5612 224 81.2 globlastpWNU25_H111 banana|12v1|ES432695_P1 2469 5614 224 81.2 globlastpWNU25_H112 beech|11v1|SRR006293.11373_P1 2470 5615 224 81.2 globlastpWNU25_H113 beech|11v1|SRR006293.24985_P1 2471 5616 224 81.2 globlastpWNU25_H114 bruguiera|gb166|BP941824_P1 2472 5617 224 81.2 globlastpWNU25_H115 canola|11v1|CN725900_P1 2473 5612 224 81.2 globlastpWNU25_H116 canola|11v1|CN730046_P1 2474 5612 224 81.2 globlastpWNU25_H117 canola|11v1|CN730557_P1 2475 5612 224 81.2 globlastpWNU25_H118 canola|11v1|CN731259_P1 2476 5612 224 81.2 globlastpWNU25_H119 canola|11v1|CN732999_P1 2477 5612 224 81.2 globlastpWNU25_H120 canola|11v1|SRR019556.44642_P1 2478 5612 224 81.2 globlastpWNU25_H121 cassava|09v1|CK651690_P1 2479 5618 224 81.2 globlastpWNU25_H122 chelidonium|11v1|SRR084752X103833_P1 2480 5619 224 81.2globlastp WNU25_H123 cleome_spinosa|10v1|GR932649_P1 2481 5620 224 81.2globlastp WNU25_H124 cleome_spinosa|10v1|SRR015531S0108810_P1 2482 5620224 81.2 globlastp WNU25_H125 fagopyrum|11v1|SRR063689X106014_P1 24835621 224 81.2 globlastp WNU25_H126 fagopyrum|11v1|SRR063689X111531_P12484 5622 224 81.2 globlastp WNU25_H127flaveria|11v1|SRR149229.179279_P1 2485 5623 224 81.2 globlastpWNU25_H128 flaveria|11v1|SRR149232.144363_P1 2486 5623 224 81.2globlastp WNU25_H129 flaveria|11v1|SRR149232.247406_P1 2487 5623 22481.2 globlastp WNU25_H130 ipomoea_nil|10v1|BJ558540_P1 2488 5624 22481.2 globlastp WNU25_H131 lettuce|12v1|DW050731_P1 2489 5625 224 81.2globlastp WNU25_H132 onion|12v1|BQ579934_P1 2490 5626 224 81.2 globlastpWNU25_H133 poppy|11v1|SRR096789.144347_P1 2491 5619 224 81.2 globlastpWNU25_H134 primula|11v1|SRR098679X10523_P1 2492 5627 224 81.2 globlastpWNU25_H135 primula|11v1|SRR098679X106162_P1 2493 5627 224 81.2 globlastpWNU25_H136 radish|gb164|EV528423 2494 5612 224 81.2 globlastp WNU25_H137radish|gb164|EV535096 2495 5612 224 81.2 globlastp WNU25_H138radish|gb164|EV536363 2496 5612 224 81.2 globlastp WNU25_H139radish|gb164|EV538123 2497 5612 224 81.2 globlastp WNU25_H140radish|gb164|EV566939 2498 5612 224 81.2 globlastp WNU25_H141radish|gb164|FD538891 2499 5612 224 81.2 globlastp WNU25_H142rice|11v1|AU063148 2500 5628 224 81.2 globlastp WNU25_H143rice|11v1|BE040487 2501 5628 224 81.2 globlastp WNU25_H144rye|12v1|BE494253 2502 5629 224 81.2 globlastp WNU25_H145rye|12v1|DRR001012.183966 2503 5630 224 81.2 globlastp WNU25_H146rye|12v1|DRR001013.308355 2504 5630 224 81.2 globlastp WNU25_H147tabernaemontana|11v1|SRR098689X128000 2505 5631 224 81.2 globlastpWNU25_H148 zostera|10v1|AM766870 2506 5604 224 81.2 globlastp WNU25_H250olea|13v1|SRR014463X3883D1_P1 2507 5632 224 80.4 globlastp WNU25_H251olea|13v1|SRR014464X66765D1_P1 2508 5633 224 80.4 globlastp WNU25_H252olea|13v1|SRR592583X243645D1_P1 2509 5632 224 80.4 globlastp WNU25_H149acacia|10v1|FS584555_P1 2510 5634 224 80.4 globlastp WNU25_H150ambrosia|11v1|GR935755_P1 2511 5635 224 80.4 globlastp WNU25_H151ambrosia|11v1|SRR346943.114688_P1 2512 5636 224 80.4 globlastpWNU25_H152 antirrhinum|gb166|AJ559172_P1 2513 5637 224 80.4 globlastpWNU25_H153 bruguiera|gb166|BP942309_P1 2514 5638 224 80.4 globlastpWNU25_H154 bupleurum|11v1|FG341999_P1 2515 5639 224 80.4 globlastpWNU25_H155 cannabis|12v1|JK496655_P1 2516 5640 224 80.4 globlastpWNU25_H156 cannabis|12v1|SOLX00016128_P1 2517 5640 224 80.4 globlastpWNU25_H157 canola|11v1|CN730086_P1 2518 5641 224 80.4 globlastpWNU25_H158 cassava|09v1|BM259993_P1 2519 5642 224 80.4 globlastpWNU25_H159 clementine|11v1|BQ622914_P1 2520 5643 224 80.4 globlastpWNU25_H160 cleome_gynandra|10v1|SRR015532S0016650_P1 2521 5644 224 80.4globlastp WNU25_H161 cleome_spinosa|10v1|SRR015531S0002868_P1 2522 5645224 80.4 globlastp WNU25_H162 cleome_spinosa|10v1|SRR015531S0012716_P12523 5646 224 80.4 globlastp WNU25_H163 cotton|11v1|AI728911_P1 25245642 224 80.4 globlastp WNU25_H164 cotton|11v1|BE053043_P1 2525 5642 22480.4 globlastp WNU25_H165 cotton|11v1|BF275635_P1 2526 5642 224 80.4globlastp WNU25_H166 cotton|11v1|BG440681_P1 2527 5642 224 80.4globlastp WNU25_H167 cotton|11v1|CO097269_P1 2528 5642 224 80.4globlastp WNU25_H168 cotton|11v1|DR452454_P1 2529 5642 224 80.4globlastp WNU25_H169 epimedium|11v1|SRR013502.14401_P1 2530 5647 22480.4 globlastp WNU25_H170 eucalyptus|11v2|CT986860_P1 2531 5648 224 80.4globlastp WNU25_H171 euonymus|11v1|SRR070038X107385_P1 2532 5649 22480.4 globlastp WNU25_H172 euphorbia|11v1|BP958921_P1 2533 5650 224 80.4globlastp WNU25_H173 euphorbia|11v1|DV144443_P1 2534 5651 224 80.4globlastp WNU25_H174 spurge|gb161|DV144443 2534 5651 224 80.4 globlastpWNU25_H175 fagopyrum|11v1|SRR063689X87577_P1 2535 5652 224 80.4globlastp WNU25_H176 flaveria|11v1|SRR149232.184670XX1_P1 2536 5653 22480.4 globlastp WNU25_H177 flaveria|11v1|SRR149232.246003_P1 2537 5653224 80.4 globlastp WNU25_H178 flaveria|11v1|SRR149241.133862_P1 25385654 224 80.4 globlastp WNU25_H179 fraxinus|11v1|SRR058827.103553_P12539 5632 224 80.4 globlastp WNU25_H180 fraxinus|11v1|SRR058827.11380_P12540 5632 224 80.4 globlastp WNU25_H181fraxinus|11v1|SRR058827.116732_P1 2541 5655 224 80.4 globlastpWNU25_H182 gossypium_raimondii|12v1|AI728911_P1 2542 5642 224 80.4globlastp WNU25_H183 gossypium_raimondii|12v1|BE053043_P1 2543 5642 22480.4 globlastp WNU25_H184 gossypium_raimondii|12v1|BF275635_P1 2544 5642224 80.4 globlastp WNU25_H185 gossypium_raimondii|12v1|BG440681_P1 25455642 224 80.4 globlastp WNU25_H186 heritiera|10v1|SRR005794S0005077_P12546 5656 224 80.4 globlastp WNU25_H187 hevea|10v1|EC606310_P1 2547 5642224 80.4 globlastp WNU25_H188 hornbeam|12v1|SRR364455.104699_P1 25485657 224 80.4 globlastp WNU25_H189 humulus|11v1|ES655136_P1 2549 5658224 80.4 globlastp WNU25_H190 humulus|11v1|ES658210_P1 2550 5659 22480.4 globlastp WNU25_H191 ipomoea_batatas|10v1|BU690618_P1 2551 5660 22480.4 globlastp WNU25_H192 ipomoea_nil|10v1|BJ562851_P1 2552 5661 22480.4 globlastp WNU25_H193 kiwi|gb166|FG456793_P1 2553 5662 224 80.4globlastp WNU25_H194 kiwi|gb166|FG480841_P1 2554 5663 224 80.4 globlastpWNU25_H195 kiwi|gb166|FG499198_P1 2555 5663 224 80.4 globlastpWNU25_H196 lettuce|12v1|DW051774_P1 2556 5664 224 80.4 globlastpWNU25_H197 liquorice|gb171|FS250698_P1 2557 5665 224 80.4 globlastpWNU25_H198 oak|10v1|DN950044_P1 2558 5666 224 80.4 globlastp WNU25_H199oak|10v1|SRR006307S0004443_P1 2559 5666 224 80.4 globlastp WNU25_H200olea|11v1|SRR014463.28420 2560 5632 224 80.4 globlastp WNU25_H200olea|13v1|SRR014463X28420D1_P1 2561 5632 224 80.4 globlastp WNU25_H201olea|11v1|SRR014463.55804 2562 5667 224 80.4 globlastp WNU25_H201olea|13v1|SRR014463X55804D1_P1 2563 5632 224 80.4 globlastp WNU25_H202olea|11v1|SRR014463.6958 2564 5668 224 80.4 globlastp WNU25_H202olea|13v1|SRR014463X6958D1_P1 2565 5668 224 80.4 globlastp WNU25_H203onion|12v1|SRR073446X110592D1_P1 2566 5669 224 80.4 globlastp WNU25_H204onion|12v1|SRR073446X116492D1_P1 2567 5669 224 80.4 globlastp WNU25_H205onion|12v1|SRR073447X101052D1_P1 2568 5670 224 80.4 globlastp WNU25_H206orange|11v1|BQ622914_P1 2569 5643 224 80.4 globlastp WNU25_H207orobanche|10v1|SRR023189S0006021_P1 2570 5671 224 80.4 globlastpWNU25_H208 orobanche|10v1|SRR023189S0033892_P1 2571 5671 224 80.4globlastp WNU25_H209 papaya|gb165|EX241854_P1 2572 5672 224 80.4globlastp WNU25_H210 plantago|11v2|SRR066373X102923_P1 2573 5673 22480.4 globlastp WNU25_H211 plantago|11v2|SRR066373X104364_P1 2574 5674224 80.4 globlastp WNU25_H212 plantago|11v2|SRR066373X105650_P1 25755673 224 80.4 globlastp WNU25_H213 platanus|11v1|SRR096786X100809_P12576 5675 224 80.4 globlastp WNU25_H214platanus|11v1|SRR096786X109435_P1 2577 5676 224 80.4 globlastpWNU25_H215 poplar|10v1|AI166233 2578 5677 224 80.4 globlastp WNU25_H215poplar|13v1|AI166233_P1 2579 5677 224 80.4 globlastp WNU25_H216poplar|10v1|BU814801 2580 5678 224 80.4 globlastp WNU25_H216poplar|13v1|AI161628_P1 2581 5678 224 80.4 globlastp WNU25_H217poppy|11v1|SRR030259.179909_P1 2582 5679 224 80.4 globlastp WNU25_H218potato|10v1|AJ489116_P1 2583 5680 224 80.4 globlastp WNU25_H219rose|12v1|BI977765 2584 5681 224 80.4 globlastp WNU25_H220scabiosa|11v1|SRR063723X10401 2585 5682 224 80.4 globlastp WNU25_H221scabiosa|11v1|SRR063723X104236 2586 5682 224 80.4 globlastp WNU25_H222scabiosa|11v1|SRR063723X104248 2587 5682 224 80.4 globlastp WNU25_H223sesame|12v1|BU669934 2588 5683 224 80.4 globlastp WNU25_H224solanum_phureja|09v1|SPHBG126911 2589 5680 224 80.4 globlastp WNU25_H225strawberry|11v1|CO379975 2590 5684 224 80.4 globlastp WNU25_H226sunflower|12v1|CD852047 2591 5685 224 80.4 globlastp WNU25_H227sunflower|12v1|DY930840 2592 5685 224 80.4 globlastp WNU25_H228sunflower|12v1|EE654475 2593 5685 224 80.4 globlastp WNU25_H229sunflower|12v1|EL487963 2594 5685 224 80.4 globlastp WNU25_H230tamarix|gb166|CN605565 2595 5686 224 80.4 globlastp WNU25_H231thellungiella_parvulum|11v1|BY823299 2596 5687 224 80.4 globlastpWNU25_H232 tobacco|gb162|CV016860 2597 5688 224 80.4 globlastpWNU25_H233 tripterygium|11v1|SRR098677X101214 2598 5689 224 80.4globlastp WNU25_H234 valeriana|11v1|SRR099039X139272 2599 5690 224 80.4globlastp WNU25_H235 watermelon|11v1|AM726796 2600 5651 224 80.4globlastp WNU25_H156 cannabis|12v1|SOLX00016128 2601 — 224 80.4globlastp WNU25_H236 amborella|12v3|SRR038635.86906_T1 2602 5691 22480.36 glotblastn WNU25_H237 chelidonium|11v1|SRR084752X110041XX1_T1 26035692 224 80.36 glotblastn WNU25_H238fraxinus|11v1|SRR058827.112628XX1_T1 2604 5693 224 80.36 glotblastnWNU25_H239 onion|12v1|SRR073446X323707D1_T1 2605 5694 224 80.36glotblastn WNU25_H240 orobanche|10v1|SRR023189S0011510_T1 2606 5695 22480.36 glotblastn WNU25_H241 tamarix|gb166|EH054247 2607 5696 224 80.36glotblastn WNU25_H242 tomato|11v1|AF014810 2608 5697 224 80.36glotblastn WNU26_H1 wheat|12v3|BE406211 2609 5698 225 98.4 globlastpWNU26_H2 rye|12v1|DRR001012.126564 2610 5699 225 96.8 globlastp WNU26_H3wheat|12v3|BE400479 2611 5700 225 96.8 globlastp WNU26_H4brachypodium|12v1|BRADI1G14290_P1 2612 5701 225 96 globlastp WNU26_H5wheat|12v3|BF484088 2613 5702 225 94.4 globlastp WNU26_H24switchgrass|12v1|FL933393_P1 2614 5703 225 93.7 globlastp WNU26_H6switchgrass|gb167|DN140893 2615 5703 225 93.7 globlastp WNU26_H7switchgrass|gb167|FL933393 2616 5703 225 93.7 globlastp WNU26_H25switchgrass|12v1|DN140893_P1 2617 5704 225 92.9 globlastp WNU26_H8maize|10v1|AI714588_P1 2618 5705 225 92.9 globlastp WNU26_H9oat|11v1|CN814979_P1 2619 5706 225 92.9 globlastp WNU26_H10sorghum|12v1|SB01G014170 2620 5705 225 92.9 globlastp WNU26_H11sugarcane|10v1|BQ531137 2621 5705 225 92.9 globlastp WNU26_H12cenchrus|gb166|EB654230_P1 2622 5707 225 92.1 globlastp WNU26_H13cynodon|10v1|ES292027_P1 2623 5708 225 91.3 globlastp WNU26_H14foxtail_millet|11v3|PHY7SI038038M_P1 2624 5709 225 91.3 globlastpWNU26_H15 maize|10v1|BG841652_P1 2625 5710 225 91.3 globlastp WNU26_H16millet|10v1|EVO454PM036675_P1 2626 5711 225 91.3 globlastp WNU26_H17rice|11v1|AU029299 2627 5712 225 91.3 globlastp WNU26_H18banana|12v1|BBS2223T3_P1 2628 5713 225 81.7 globlastp WNU26_H19amorphophallus|11v2|SRR089351X107417_P1 2629 5714 225 81 globlastpWNU26_H20 oil_palm|11v1|EL930593_P1 2630 5715 225 81 globlastp WNU26_H21aristolochia|10v1|SRR039082S0000924_P1 2631 5716 225 80.2 globlastpWNU26_H22 fescue|gb161|DT702314_P1 2632 5717 225 80.2 globlastpWNU26_H23 ginger|gb164|DY353684_P1 2633 5718 225 80.2 globlastpWNU27_H10 rice|11v1|D45954 2634 5719 226 80.5 globlastp WNU28_H10rye|12v1|BE587449 2635 5720 227 82.84 glotblastn WNU28_H11rye|12v1|DRR001012.309192 2636 5721 227 82.84 glotblastn WNU28_H14wheat|12v3|CA602648 2637 5722 227 82.09 glotblastn WNU28_H18wheat|12v3|BE445687 2638 5723 227 81 globlastp WNU28_H19wheat|12v3|BE406147 2639 5724 227 80.9 globlastp WNU28_H20rye|12v1|DRR001013.219293 2640 5725 227 80.3 globlastp WNU29_H1wheat|12v3|BE406488 2641 5726 228 93 globlastp WNU29_H2wheat|12v3|BE403792 2642 5727 228 91.8 globlastp WNU29_H3leymus|gb166|EG397801_P1 2643 5728 228 91.4 globlastp WNU29_H4pseudoroegneria|gb167|FF342698 2644 5729 228 91.4 globlastp WNU29_H5rye|12v1|BF145411 2645 5730 228 90.7 globlastp WNU29_H6rye|12v1|BF145631 2646 5731 228 90.7 globlastp WNU29_H7rye|12v1|DRR001012.113133 2647 5732 228 90.7 globlastp WNU29_H8rye|12v1|DRR001012.152886 2648 5732 228 90.7 globlastp WNU29_H9rye|12v1|BF146193 2649 5733 228 89.9 globlastp WNU29_H10rye|12v1|CD453333 2650 5734 228 87.94 glotblastn WNU29_H11lolium|10v1|DT671714_P1 2651 5735 228 86 globlastp WNU29_H12oat|11v1|CN820724_P1 2652 5736 228 86 globlastp WNU29_H13oat|11v1|GO591470_P1 2653 5736 228 86 globlastp WNU29_H14brachypodium|12v1|BRADI2G19230_P1 2654 5737 228 85.2 globlastp WNU29_H15rye|12v1|BE438598 2655 5738 228 84.44 glotblastn WNU29_H16switchgrass|gb167|FE646280 2656 5739 228 81.5 globlastp WNU29_H17cenchrus|gb166|EB652567_P1 2657 5740 228 81.4 globlastp WNU29_H18foxtail_millet|11v3|PHY7SI022465M_P1 2658 5741 228 81.2 globlastpWNU29_H22 switchgrass|12v1|DN152053_P1 2659 5742 228 81.1 globlastpWNU29_H19 switchgrass|gb167|DN152053 2660 5742 228 81.1 globlastpWNU29_H20 sugarcane|10v1|CA072716 2661 5743 228 80.8 globlastp WNU29_H21millet|10v1|EVO454PM032994_P1 2662 5744 228 80.1 globlastp WNU30_H1wheat|12v3|BE418237 2663 5745 229 96.1 globlastp WNU30_H2rye|12v1|DRR001012.105664 2664 5746 229 95.7 globlastp WNU30_H3wheat|12v3|BE591687 2665 5747 229 94.7 globlastp WNU30_H4brachypodium|12v1|BRADI3G29797_P1 2666 5748 229 88.2 globlastp WNU30_H5oat|11v1|GR320126_P1 2667 5749 229 87.5 globlastp WNU30_H6millet|10v1|PMSLX0005022D1_P1 2668 5750 229 82.1 globlastp WNU30_H7foxtail_millet|11v3|PHY7SI035904M_P1 2669 5751 229 81.7 globlastpWNU30_H8 maize|10v1|AI920364_P1 2670 5752 229 81.7 globlastp WNU30_H9rice|11v1|CA757830 2671 5753 229 80.6 globlastp WNU30_H10sorghum|12v1|SB01G018410 2672 5754 229 80.4 globlastp WNU31_H1rye|12v1|DRR001012.813021 2673 5755 230 93.3 globlastp WNU31_H2rye|12v1|DRR001012.207578 2674 5756 230 92.7 globlastp WNU31_H3brachypodium|12v1|BRADI1G18130_P1 2675 5757 230 82.6 globlastp WNU32_H1rye|12v1|DRR001012.118312 2676 5758 231 94 globlastp WNU32_H2wheat|12v3|BE516348 2677 5759 231 94 globlastp WNU32_H3oat|11v1|AF140553_T1 2678 5760 231 85.57 glotblastn WNU32_H4brachypodium|12v1|BRADI1G71570_P1 2679 5761 231 83.4 globlastp WNU33_H1wheat|12v3|BE637743 2680 5762 232 95.7 globlastp WNU33_H2rye|12v1|DRR001012.113659 2681 5763 232 94.2 globlastp WNU33_H3rye|12v1|DRR001012.7421 2682 5764 232 94.2 globlastp WNU33_H4brachypodium|12v1|BRADI4G44832_P1 2683 5765 232 91.3 globlastp WNU33_H19switchgrass|12v1|FL897048_P1 2684 5766 232 87 globlastp WNU33_H20switchgrass|12v1|GD035382_P1 2685 5766 232 87 globlastp WNU33_H5foxtail_millet|11v3|PHY7SI012551M_P1 2686 5766 232 87 globlastp WNU33_H6switchgrass|gb167|FL897048 2687 5766 232 87 globlastp WNU33_H7rice|11v1|CF325265 2688 5767 232 86.96 glotblastn WNU33_H8fescue|gb161|DT705155_T1 2689 5768 232 85.92 glotblastn WNU33_H9rice|11v1|AU166875 2690 5769 232 85.51 glotblastn WNU33_H10foxtail_millet|11v3|SOLX00022948_P1 2691 5770 232 85.5 globlastpWNU33_H11 sorghum|12v1|SB08G000650 2692 5771 232 85.5 globlastpWNU33_H12 maize|10v1|DW530314_P1 2693 5772 232 84.5 globlastp WNU33_H13maize|10v1|BE225167_P1 2694 5773 232 84.3 globlastp WNU33_H14sorghum|12v1|SB05G000620 2695 5774 232 84.1 globlastp WNU33_H15switchgrass|gb167|FL886195 2696 5775 232 84.1 globlastp WNU33_H16maize|10v1|DW898426_T1 2697 5776 232 84.06 glotblastn WNU33_H17sugarcane|10v1|CF575834 2698 5777 232 83.1 globlastp WNU33_H18millet|10v1|PMSLX0075855D2_P1 2699 5778 232 81.2 globlastp WNU34_H1wheat|12v3|BU101180 2700 5779 233 91.8 globlastp WNU35_H1wheat|12v3|BG605144 2701 5780 234 95.1 globlastp WNU35_H2wheat|12v3|CJ587392 2702 5781 234 92.3 globlastp WNU35_H3rye|12v1|DRR001012.119573 2703 5782 234 92 globlastp WNU35_H4barley|12v1|EX583178_P1 2704 5783 234 91.4 globlastp WNU35_H5wheat|12v3|BF202649 2705 5784 234 90.7 globlastp WNU35_H6wheat|12v3|CA599142 2706 5785 234 90.6 globlastp WNU35_H7rye|12v1|DRR001012.166983 2707 5786 234 90.1 globlastp WNU35_H8rye|12v1|DRR001012.123100 2708 5787 234 89.7 globlastp WNU35_H9wheat|12v3|BE401525 2709 5788 234 88.3 globlastp WNU35_H10oat|11v1|GR316665_P1 2710 5789 234 87.7 globlastp WNU35_H11brachypodium|12v1|BRADI2G07160_P1 2711 5790 234 87.4 globlastp WNU35_H12sugarcane|10v1|CA119713 2712 5791 234 85.07 glotblastn WNU35_H13rice|11v1|AA753081 2713 5792 234 83.7 globlastp WNU35_H14foxtail_millet|11v3|EC612259_P1 2714 5793 234 83.3 globlastp WNU35_H15foxtail_millet|11v3|PHY7SI036563M_P1 2715 5794 234 83.3 globlastpWNU35_H21 switchgrass|12v1|DN145422_P1 2716 5795 234 82.9 globlastpWNU35_H16 millet|10v1|EVO454PM030513_P1 2717 5796 234 82.6 globlastpWNU35_H22 switchgrass|12v1|DN145373_P1 2718 5797 234 82.4 globlastpWNU35_H17 maize|10v1|AI964587_P1 2719 5798 234 82.4 globlastp WNU35_H18sorghum|12v1|SB03G001550 2720 5799 234 82.4 globlastp WNU35_H19switchgrass|gb167|DN145373 2721 5800 234 82.1 globlastp WNU35_H20maize|10v1|CF244168_P1 2722 5801 234 81.5 globlastp WNU36_H1wheat|12v3|BE443031 2723 5802 235 95.6 globlastp WNU36_H5wheat|12v3|BQ789293 2724 5803 235 95.14 glotblastn WNU36_H3rye|12v1|BE586716 2725 5804 235 95.1 globlastp WNU36_H4wheat|12v3|BE517286 2726 5805 235 95.1 globlastp WNU36_H2wheat|12v3|BF202371 2727 5806 235 93.69 glotblastn WNU36_H8brachypodium|12v1|BRADI3G53420_P1 2728 5807 235 85.7 globlastp WNU37_H1wheat|12v3|BE606832 2729 5808 236 97.9 globlastp WNU37_H2wheat|12v3|BF483879 2730 5809 236 97.8 globlastp WNU37_H3wheat|12v3|BG262647 2731 5810 236 97.8 globlastp WNU37_H4rye|12v1|DRR001012.103169 2732 5811 236 97.5 globlastp WNU37_H5wheat|12v3|BE606184 2733 5812 236 97.19 glotblastn WNU37_H7foxtail_millet|11v3|PHY7SI021351M_P1 2734 5813 236 92.4 globlastpWNU37_H8 rice|11v1|BI811423 2735 5814 236 92.3 globlastp WNU37_H25switchgrass|12v1|DN142304_T1 2736 5815 236 92.15 glotblastn WNU37_H9switchgrass|gb167|DN142304 2737 5816 236 92.15 glotblastn WNU37_H26switchgrass|12v1|FE628118_P1 2738 5817 236 92 globlastp WNU37_H10millet|10v1|EVO454PM014456_P1 2739 5818 236 92 globlastp WNU37_H11sorghum|12v1|SB08G018440 2740 5819 236 92 globlastp WNU37_H12sugarcane|10v1|CA068434 2741 5820 236 92 globlastp WNU37_H13maize|10v1|AW330878_P1 2742 5821 236 91 globlastp WNU37_H14maize|10v1|AI615160_P1 2743 5822 236 89.9 globlastp WNU37_H15banana|12v1|FL649484_P1 2744 5823 236 83.8 globlastp WNU37_H19oak|10v1|FP034259_P1 2745 5824 236 81.4 globlastp WNU37_H21amorphophallus|11v2|SRR089351X160169_P1 2746 5825 236 80.5 globlastpWNU37_H22 amborella|12v3|FD432214_P1 2747 5826 236 80.2 globlastpWNU37_H23 aquilegia|10v2|DR927606_P1 2748 5827 236 80.1 globlastpWNU38_H1 rye|12v1|BE704959 2749 5828 237 98.8 globlastp WNU38_H2wheat|12v3|CA607240 2750 5829 237 98.5 globlastp WNU38_H3wheat|12v3|BF484914 2751 5830 237 98.4 globlastp WNU38_H4wheat|12v3|DR732969 2752 5830 237 98.4 globlastp WNU38_H5brachypodium|12v1|BRADI3G32210T2_P1 2753 5831 237 95 globlastp WNU38_H6oat|11v1|CN815630_P1 2754 5832 237 94.6 globlastp WNU38_H7rice|11v1|U38167 2755 5833 237 89.9 globlastp WNU38_H8sorghum|12v1|SB01G030430 2756 5834 237 89.5 globlastp WNU38_H9switchgrass|gb167|DN143112 2757 5835 237 88.9 globlastp WNU38_H10foxtail_millet|11v3|PHY7SI034411M_P1 2758 5836 237 88.7 globlastpWNU38_H11 maize|10v1|AW267461_P1 2759 5837 237 86.2 globlastp WNU38_H12rye|12v1|DRR001012.507695 2760 5838 237 85.08 glotblastn WNU38_H13barley|12v1|AJ534446_T1 2761 5839 237 81.58 glotblastn WNU39_H1rye|12v1|DRR001012.179118 2762 5840 238 98 globlastp WNU39_H2rye|12v1|BQ160098 2763 5841 238 96.97 glotblastn WNU39_H3wheat|12v3|AL826350 2764 5842 238 96.8 globlastp WNU39_H4brachypodium|12v1|BRADI1G01140_P1 2765 5843 238 94.2 globlastp WNU39_H5barley|12v1|BU988855_P1 2766 5844 238 93.8 globlastp WNU39_H6brachypodium|12v1|BRADI1G01200_P1 2767 5845 238 93.7 globlastp WNU39_H7wheat|12v3|CA688079 2768 5846 238 93.4 globlastp WNU39_H8wheat|12v3|CN011782 2769 5847 238 91.6 globlastp WNU39_H9rye|12v1|DRR001012.265039 2770 5848 238 90.91 glotblastn WNU39_H10wheat|12v3|SRR073322X113490D1 2771 5849 238 90.8 globlastp WNU39_H11maize|10v1|AI612324_P1 2772 5850 238 90.5 globlastp WNU39_H12rice|11v1|BI798293 2773 5851 238 90.1 globlastp WNU39_H13sorghum|12v1|SB01G000850 2774 5852 238 89.8 globlastp WNU39_H24switchgrass|12v1|FE639701_P1 2775 5853 238 89.1 globlastp WNU39_H14foxtail_millet|11v3|PHY7SI034495M_P1 2776 5854 238 88.9 globlastpWNU39_H25 switchgrass|12v1|FL833868_P1 2777 5855 238 88.8 globlastpWNU39_H26 switchgrass|12v1|FL719668_P1 2778 5856 238 88.5 globlastpWNU39_H15 millet|10v1|EVO454PM002688_P1 2779 5857 238 88.3 globlastpWNU39_H16 maize|10v1|AI947725_P1 2780 5858 238 88.2 globlastp WNU39_H17switchgrass|gb167|FE639701 2781 5859 238 88.2 glotblastn WNU39_H18oil_palm|11v1|EL683203_P1 2782 5860 238 84.9 globlastp WNU39_H19wheat|12v3|SRR400820X1035870D1 2783 5861 238 83.98 glotblastn WNU39_H20rye|12v1|BE438514 2784 5862 238 83.2 globlastp WNU39_H21banana|12v1|BBS2636T3_P1 2785 5863 238 82.2 globlastp WNU39_H22phalaenopsis|11v1|SRR125771.1017165_T1 2786 5864 238 81.29 glotblastnWNU39_H23 grape|11v1|GSVIVT01023351001_P1 2787 5865 238 80.6 globlastpWNU40_H1 rye|12v1|DRR001012.93341 2788 5866 239 91.1 globlastp WNU40_H2rye|12v1|DRR001012.297746 2789 5867 239 90.5 globlastp WNU41_H2wheat|12v3|BQ804367 2790 5868 240 89.6 globlastp WNU42_H1rye|12v1|DRR001012.112433 2791 5869 241 96.1 globlastp WNU42_H2wheat|12v3|CA728904 2792 5870 241 96.1 globlastp WNU42_H3wheat|12v3|BE400749 2793 5871 241 93.1 globlastp WNU42_H4brachypodium|12v1|BRADI5G13120_P1 2794 5872 241 88.1 globlastp WNU42_H5rice|11v1|CA765423 2795 5873 241 82.8 globlastp WNU43_H1wheat|12v3|BQ744365 2796 5874 242 87.6 globlastp WNU43_H2rye|12v1|GFXEU194240X1 2797 5875 242 85.78 glotblastn WNU43_H3rice|11v1|AY114110 2798 5876 242 82.2 globlastp WNU44_H1rye|12v1|DRR001012.32802 2799 5877 243 94 globlastp WNU44_H2wheat|12v3|BF483666 2800 5878 243 94 globlastp WNU46_H1leymus|gb166|EG400893_P1 2801 5879 245 92.8 globlastp WNU46_H2wheat|12v3|BE446543 2802 5880 245 92.2 globlastp WNU46_H3wheat|12v3|BE404251 2803 5881 245 91.6 globlastp WNU46_H4rye|12v1|BE495560 2804 5882 245 91.2 globlastp WNU46_H5rye|12v1|DRR001012.276818 2805 5883 245 90.9 globlastp WNU46_H6barley|12v1|BG366599_P1 2806 5884 245 89.6 globlastp WNU46_H7rice|11v1|BI806398 2807 5885 245 85.9 globlastp WNU46_H8maize|10v1|AW055419_P1 2808 5886 245 82.9 globlastp WNU46_H9maize|10v1|AI964620_P1 2809 5887 245 82.2 globlastp WNU46_H10sorghum|12v1|SB02G000400 2810 5888 245 82.2 globlastp WNU46_H11sugarcane|10v1|CA090267 2811 5889 245 82.2 globlastp WNU46_H15switchgrass|12v1|DN144132_P1 2812 5890 245 81.7 globlastp WNU46_H12foxtail_millet|11v3|EC612167_P1 2813 5891 245 81.7 globlastp WNU46_H13switchgrass|gb167|DN144132 2814 5890 245 81.7 globlastp WNU46_H14switchgrass|gb167|FE599308 2815 5892 245 80.7 globlastp WNU47_H1barley|12v1|AV833350_P1 2816 5893 246 84.6 globlastp WNU47_H2rye|12v1|DRR001012.111891 2817 5894 246 83.7 globlastp WNU47_H3wheat|12v3|BE516917 2818 5895 246 83.7 globlastp WNU51_H1wheat|12v3|BQ903841 2819 5896 249 86.7 globlastp WNU51_H5switchgrass|12v1|FE619109_P1 2820 5897 249 82.7 globlastp WNU51_H2foxtail_millet|11v3|PHY7SI000637M_P1 2821 5898 249 82.3 globlastpWNU51_H3 rice|11v1|AA753089 2822 5899 249 81.9 globlastp WNU51_H4sorghum|12v1|SB03G029870 2823 5900 249 81.9 globlastp WNU53_H2switchgrass|12v1|FE620835_T1 2824 5901 251 87.04 glotblastn WNU53_H1sorghum|12v1|SB02G030160 2825 5902 251 80.64 glotblastn WNU54_H1switchgrass|gb167|DN143732 2826 5903 252 89.9 globlastp WNU54_H5switchgrass|12v1|DN143732_P1 2827 5904 252 89.6 globlastp WNU54_H2switchgrass|gb167|FE621086 2828 5905 252 87.9 globlastp WNU54_H3millet|10v1|EVO454PM077732_P1 2829 5906 252 81.3 globlastp WNU54_H4sugarcane|10v1|BQ535885 2830 5907 252 80.2 globlastp WNU55_H1cenchrus|gb166|BM084440_P1 2831 5908 253 97.6 globlastp WNU55_H17switchgrass|12v1|FE626008_P1 2832 5909 253 92.4 globlastp WNU55_H18switchgrass|12v1|FL733655_P1 2833 5910 253 91.7 globlastp WNU55_H2switchgrass|gb167|FE626008 2834 5911 253 91.7 globlastp WNU55_H3millet|10v1|EVO454PM020798_P1 2835 5912 253 91.4 globlastp WNU55_H4maize|10v1|AW052935_P1 2836 5913 253 89.3 globlastp WNU55_H5sugarcane|10v1|AI105581 2837 5914 253 88.7 globlastp WNU55_H6oat|11v1|CN819661_P1 2838 5915 253 87.9 globlastp WNU55_H7wheat|12v3|BE398870 2839 5916 253 87.6 globlastp WNU55_H8rye|12v1|DRR001012.112998 2840 5917 253 86.9 globlastp WNU55_H9sorghum|12v1|SB03G045400 2841 5918 253 86.9 globlastp WNU55_H10fescue|gb161|DT674680_P1 2842 5919 253 86.6 globlastp WNU55_H11leymus|gb166|EG384989_P1 2843 5920 253 86.6 globlastp WNU55_H12pseudoroegneria|gb167|FF349242 2844 5921 253 86.6 globlastp WNU55_H13brachypodium|12v1|BRADI2G60400_P1 2845 5922 253 86.3 globlastp WNU55_H14rye|12v1|BQ160176 2846 5923 253 85.5 globlastp WNU55_H15rye|12v1|DRR001012.136908 2847 5924 253 83.6 globlastp WNU55_H16rye|12v1|DRR001012.10881 2848 5925 253 82.1 globlastp WNU56_H1millet|10v1|EVO454PM009410_P1 2849 5926 254 97.5 globlastp WNU56_H19switchgrass|12v1|FL822962_P1 2850 5927 254 95.4 globlastp WNU56_H2sorghum|12v1|SB06G000370 2851 5928 254 92.3 globlastp WNU56_H3maize|10v1|AI615164_P1 2852 5929 254 89.1 globlastp WNU56_H4maize|10v1|AW054516_P1 2853 5930 254 88.4 globlastp WNU56_H5wheat|12v3|BE414924 2854 5931 254 85.9 globlastp WNU56_H6barley|12v1|BE420715_P1 2855 5932 254 85.6 globlastp WNU56_H7brachypodium|12v1|BRADI5G02400T3_P1 2856 5933 254 85.6 globlastpWNU56_H8 rye|12v1|DRR001012.14123 2857 5934 254 84.2 globlastp WNU56_H9rye|12v1|DRR001013.248475 2858 5935 254 84.2 globlastp WNU56_H10wheat|12v3|BE418367 2859 5936 254 84.2 globlastp WNU56_H11wheat|12v3|BE400635 2860 5937 254 83.8 globlastp WNU56_H12rye|12v1|DRR001012.126292 2861 5938 254 83.5 globlastp WNU56_H13rye|12v1|DRR001012.131238 2862 5939 254 83.5 globlastp WNU56_H14rice|11v1|BI798616 2863 5940 254 82.9 globlastp WNU56_H15switchgrass|gb167|FE610544 2864 5941 254 82 globlastp WNU56_H16wheat|12v3|CA678232 2865 5942 254 82 globlastp WNU56_H20switchgrass|12v1|FE600029_T1 2866 5943 254 80.7 glotblastn WNU56_H17switchgrass|gb167|FE600029 2867 5943 254 80.7 glotblastn WNU56_H18sugarcane|10v1|BU102873 2868 5944 254 80.3 globlastp WNU57_H1millet|10v1|EVO454PM018435_P1 2869 5945 255 96.2 globlastp WNU57_H13switchgrass|12v1|DN141209_P1 2870 5946 255 95.1 globlastp WNU57_H2switchgrass|gb167|DN151901 2871 5947 255 95.1 globlastp WNU57_H3maize|10v1|AI600883_P1 2872 5948 255 92 globlastp WNU57_H4maize|10v1|AI855375_P1 2873 5949 255 91.1 globlastp WNU57_H5sorghum|12v1|SB04G006620 2874 5950 255 90.7 globlastp WNU57_H6sugarcane|10v1|BQ533748 2875 5951 255 90.5 globlastp WNU57_H7rice|11v1|BI305818 2876 5952 255 88.1 globlastp WNU57_H8barley|12v1|BE437885_P1 2877 5953 255 86.9 globlastp WNU57_H9rye|12v1|BE493839 2878 5954 255 86.9 globlastp WNU57_H10wheat|12v3|BE403012 2879 5955 255 86.9 globlastp WNU57_H11oat|11v1|CN820052_P1 2880 5956 255 86.4 globlastp WNU57_H12brachypodium|12v1|BRADI3G07130_P1 2881 5957 255 85.9 globlastp WNU58_H1millet|10v1|PMSLX0007469D1_P1 2882 5958 256 93.1 globlastp WNU58_H3switchgrass|12v1|FL798481_P1 2883 5959 256 91.9 globlastp WNU58_H2switchgrass|gb167|FL798481 2884 5960 256 91.5 globlastp WNU60_H3switchgrass|12v1|FE618777_P1 2885 5961 257 95.1 globlastp WNU60_H4switchgrass|12v1|FL848693_P1 2886 5962 257 93.9 globlastp WNU60_H1sorghum|12v1|SB03G035380 2887 5963 257 91.1 globlastp WNU60_H2maize|10v1|CD947094_P1 2888 5964 257 89.5 globlastp WNU65_H4switchgrass|12v1|DN151191_T1 2889 5965 260 94.16 glotblastn WNU65_H1maize|10v1|EC882969_P1 2890 5966 260 90.6 globlastp WNU65_H2rice|11v1|AU101102 2891 5967 260 86.1 globlastp WNU65_H3sorghum|12v1|SB06G019660 2892 5968 260 82 globlastp WNU65_H5switchgrass|12v1|FE648952_P1 2893 5969 260 81.4 globlastp WNU66_H1millet|10v1|EVO454PM003908_P1 2894 5970 261 97.4 globlastp WNU66_H2foxtail_millet|11v3|PHY7SI034876M_P1 2895 5971 261 96.7 globlastpWNU66_H14 switchgrass|12v1|FE624920_P1 2896 5972 261 95 globlastpWNU66_H15 switchgrass|12v1|FL743094_P1 2897 5973 261 94.8 globlastpWNU66_H3 sorghum|12v1|SB08G004950 2898 5974 261 92.8 globlastp WNU66_H4maize|10v1|AI667773_P1 2899 5975 261 92.4 globlastp WNU66_H5rice|11v1|D40964 2900 — 261 90.31 glotblastn WNU66_H6brachypodium|12v1|BRADI2G31260_T1 2901 5976 261 88.24 glotblastnWNU66_H7 barley|12v1|BI953051_P1 2902 5977 261 87.7 globlastp WNU66_H8brachypodium|12v1|BRADI1G76820_P1 2903 5978 261 87.7 globlastp WNU66_H9rye|12v1|DRR001012.101674 2904 5979 261 87.02 glotblastn WNU66_H10wheat|12v3|BE515409 2905 5980 261 86.5 globlastp WNU66_H11wheat|12v3|BF484306 2906 5981 261 86 globlastp WNU66_H12sugarcane|10v1|CA084686 2907 5982 261 83.2 globlastp WNU66_H13wheat|12v3|BI750854 2908 5983 261 82 globlastp WNU67_H11switchgrass|12v1|FL749950_P1 2909 5984 262 98.8 globlastp WNU67_H1switchgrass|gb167|DN141403 2910 5985 262 98.2 globlastp WNU67_H12switchgrass|12v1|DN141403_P1 2911 5986 262 97.8 globlastp WNU67_H2sorghum|12v1|SB04G036240 2912 5987 262 95.8 globlastp WNU67_H3sugarcane|10v1|BU102542 2913 5988 262 95.2 globlastp WNU67_H4maize|10v1|AW562559_P1 2914 5989 262 94.6 globlastp WNU67_H5millet|10v1|EVO454PM095165_T1 2915 5990 262 93.31 glotblastn WNU67_H6rice|11v1|BI306271 2916 5991 262 93.3 globlastp WNU67_H7brachypodium|12v1|BRADI3G54387_P1 2917 5992 262 91.5 globlastp WNU67_H8barley|12v1|BF621231_P1 2918 5993 262 89.7 globlastp WNU67_H9rye|12v1|DRR001012.125551 2919 5994 262 88.93 glotblastn WNU67_H10wheat|12v3|BE424759 2920 5995 262 85.1 globlastp WNU68_H5switchgrass|12v1|FE605833_P1 2921 5996 263 87.9 globlastp WNU68_H1switchgrass|gb167|FE605833 2922 5997 263 87.8 globlastp WNU68_H2rice|11v1|AU033236 2923 5998 263 83.4 globlastp WNU68_H3millet|10v1|PMSLX0015205D1_P1 2924 5999 263 83.2 globlastp WNU68_H4sorghum|12v1|SB04G027630 2925 6000 263 82.6 globlastp WNU69_H1brachypodium|12v1|BRADI2G33487_P1 2926 6001 264 83.1 globlastp WNU69_H2rice|11v1|AA753248 2927 6002 264 83.1 globlastp WNU69_H3sorghum|12v1|SB09G005780 2928 6003 264 80.8 globlastp WNU70_H1switchgrass|12v1|FL702936_P1 2929 6004 265 89.1 globlastp WNU70_H2switchgrass|12v1|FL714970_P1 2930 6005 265 84.9 globlastp WNU71_H26switchgrass|12v1|FL855287_P1 2931 6006 266 97.1 globlastp WNU71_H1switchgrass|gb167|FL745977 2932 6007 266 96.36 glotblastn WNU71_H2sorghum|12v1|SB02G033430 2933 6008 266 95.6 globlastp WNU71_H27switchgrass|12v1|FL745977_P1 2934 6009 266 94.9 globlastp WNU71_H3sugarcane|10v1|CA107770 2935 6010 266 94.9 globlastp WNU71_H4pseudoroegneria|gb167|FF34574 2936 6011 266 93 globlastp WNU71_H5rye|12v1|DRR001012.120492 2937 6012 266 92.5 globlastp WNU71_H6rye|12v1|BE494187 2938 6013 266 91.8 globlastp WNU71_H7rye|12v1|DRR001012.301737 2939 6014 266 91.8 globlastp WNU71_H8millet|10v1|EVO454PM016198_P1 2940 6015 266 91.7 globlastp WNU71_H9barley|12v1|BE413186_P1 2941 6016 266 91.5 globlastp WNU71_H10wheat|12v3|BE414569 2942 6017 266 91.5 globlastp WNU71_H11leymus|gb166|EG385262_P1 2943 6018 266 91.3 globlastp WNU71_H12fescue|gb161|DT674288_P1 2944 6019 266 90.6 globlastp WNU71_H13rice|11v1|BI797791 2945 6020 266 90.3 globlastp WNU71_H14brachypodium|12v1|BRADI1G27460_P1 2946 6021 266 89.9 globlastp WNU71_H15oat|11v1|AA231752_P1 2947 6022 266 89.6 globlastp WNU71_H16banana|12v1|FF557606_T1 2948 6023 266 81.19 glotblastn WNU71_H17hornbeam|12v1|SRR364455.110930_T1 2949 6024 266 81.07 glotblastnWNU71_H18 maize|10v1|AI920419_T1 2950 6025 266 80.83 glotblastnWNU71_H19 cacao|10v1|CU471506_P1 2951 6026 266 80.5 globlastp WNU71_H20cotton|11v1|CO089937_T1 2952 6027 266 80.34 glotblastn WNU71_H21ipomoea_nil|10v1|BJ565253_T1 2953 6028 266 80.34 glotblastn WNU71_H22banana|12v1|BBS184T3_P1 2954 6029 266 80.1 globlastp WNU71_H23cotton|11v1|BE055094_T1 2955 6030 266 80.1 glotblastn WNU71_H24flaveria|11v1|SRR149229.123410_T1 2956 6031 266 80.1 glotblastnWNU71_H25 strawberry|11v1|GT151387 2957 6032 266 80.1 globlastp WNU72_H1millet|10v1|EVO454PM004850_P1 2958 6033 267 94.3 globlastp WNU72_H14switchgrass|12v1|FE609299_P1 2959 6034 267 93.3 globlastp WNU72_H2switchgrass|gb167|FE609299 2960 6035 267 93.1 globlastp WNU72_H3maize|10v1|AI943960_P1 2961 6036 267 90.1 globlastp WNU72_H4sorghum|12v1|SB01G000600 2962 6037 267 89.9 globlastp WNU72_H5maize|10v1|W49430_P1 2963 6038 267 88.9 globlastp WNU72_H6brachypodium|12v1|BRADI1G00990_P1 2964 6039 267 85.1 globlastp WNU72_H7rice|11v1|BE229715 2965 6040 267 83.7 globlastp WNU72_H8wheat|12v3|BE498573 2966 6041 267 83.2 globlastp WNU72_H9wheat|12v3|BE591785 2967 6042 267 83 globlastp WNU72_H10rye|12v1|BE587577 2968 6043 267 82.97 glotblastn WNU72_H11rye|12v1|BF145793 2969 6044 267 82.8 globlastp WNU72_H12barley|12v1|BF625365_P1 2970 6045 267 82.6 globlastp WNU72_H13wheat|12v3|SRR073321X116449D1 2971 6046 267 81.2 globlastp WNU73_H1millet|10v1|EB411032_P1 2972 6047 268 92.2 globlastp WNU73_H2switchgrass|gb167|DN143721 2973 6048 268 91.2 globlastp WNU73_H3sorghum|12v1|SB01G038500 2974 6049 268 89.4 globlastp WNU73_H4maize|10v1|AI943624_P1 2975 6050 268 88.1 globlastp WNU73_H9switchgrass|12v1|FE628623_P1 2976 6051 268 83 globlastp WNU73_H5rice|11v1|BE230020 2977 6052 268 81.8 globlastp WNU73_H10switchgrass|12v1|DN143721_P1 2978 6053 268 81.6 globlastp WNU73_H6brachypodium|12v1|BRADI1G65580_P1 2979 6054 268 80.4 globlastp WNU73_H7barley|12v1|BE216681_P1 2980 6055 268 80.2 globlastp WNU73_H8wheat|12v3|BF478638 2981 6056 268 80 globlastp WNU74_H11switchgrass|12v1|FE597705_P1 2982 6057 269 96.8 globlastp WNU74_H1switchgrass|gb167|DN143125 2983 6058 269 96.8 globlastp WNU74_H2sorghum|12v1|SB01G026590 2984 6059 269 94.1 globlastp WNU74_H3maize|10v1|AI941583_P1 2985 6060 269 92.9 globlastp WNU74_H4rice|11v1|CA998124 2986 6061 269 89.2 globlastp WNU74_H5brachypodium|12v1|BRADI3G21180_P1 2987 6062 269 85.9 globlastp WNU74_H6rye|12v1|BE587915 2988 6063 269 84.1 globlastp WNU74_H7sugarcane|10v1|CA066393XX2 2989 6064 269 84.1 globlastp WNU74_H8wheat|12v3|BQ161332 2990 6065 269 84.1 globlastp WNU74_H9wheat|12v3|BE443378 2991 6066 269 83.5 globlastp WNU74_H10barley|12v1|AV836614_P1 2992 6067 269 82.6 globlastp WNU75_H1sorghum|12v1|SB06G030330 2993 6068 270 97.1 globlastp WNU75_H2sugarcane|10v1|CA087831 2994 6069 270 96.3 globlastp WNU75_H3maize|10v1|T18425_P1 2995 6070 270 93 globlastp WNU75_H4switchgrass|gb167|FL741557 2996 6071 270 87.3 globlastp WNU75_H8switchgrass|12v1|FE603022_P1 2997 6072 270 86.5 globlastp WNU75_H5foxtail_millet|11v3|PHY7SI010909M_P1 2998 6073 270 86.5 globlastpWNU75_H6 switchgrass|gb167|FE603022 2999 6074 270 85.7 globlastpWNU75_H7 millet|10v1|EVO454PM000097_P1 3000 6075 270 85.3 globlastpWNU76_H1 sorghum|12v1|SB02G042930 3001 6076 271 93.1 globlastp WNU76_H2foxtail_millet|11v3|PHY7SI02882M_P1 3002 6077 271 90 globlastp WNU76_H3switchgrass|gb167|FE629549 3003 6078 271 89.45 glotblastn WNU76_H4rice|11v1|BI798105 3004 — 271 84.05 glotblastn WNU76_H5barley|12v1|BI952099_P1 3005 6079 271 81.4 globlastp WNU76_H6wheat|12v3|BG604709 3006 6080 271 81.4 globlastp WNU76_H7rye|12v1|BE705594 3007 6081 271 81 globlastp WNU77_H1sugarcane|10v1|CA082006 3008 6082 272 86 globlastp WNU77_H2switchgrass|gb167|DN145582 3009 6083 272 81 globlastp WNU77_H3switchgrass|12v1|DN143279_P1 3010 6084 272 80.8 globlastp WNU82_H3maize|10v1|EY952669_P1 3011 6085 276 83.9 globlastp WNU85_H1foxtail_millet|11v3|EC613694_P1 3012 6086 278 86.4 globlastp WNU85_H2leymus|gb166|EG386550_P1 3013 6087 278 84.1 globlastp WNU85_H3maize|10v1|BI273418_P1 3014 6088 278 83.7 globlastp WNU85_H4brachypodium|12v1|BRADI2G07510_P1 3015 6089 278 83.6 globlastp WNU85_H5sorghum|12v1|SB03G001140 3016 6090 278 83.6 globlastp WNU85_H6maize|10v1|AI622003_P1 3017 6091 278 83 globlastp WNU85_H7sugarcane|10v1|CA077199 3018 6092 278 82.9 globlastp WNU85_H8wheat|12v3|BE407080 3019 6093 278 82.2 globlastp WNU85_H9pseudoroegneria|gb167|FF346440 3020 6094 278 81.5 globlastp WNU91_H1sugarcane|10v1|BQ529697 3021 6095 281 95.1 globlastp WNU91_H2maize|10v1|AI714451_P1 3022 6096 281 91.9 globlastp WNU91_H3cenchrus|gb166|EB659537_P1 3023 6097 281 87 globlastp WNU91_H4foxtail_millet|11v3|PHY7SI036279M_P1 3024 6098 281 86.5 globlastpWNU91_H5 millet|10v1|EVO454PM061725_P1 3025 6099 281 86.5 globlastpWNU91_H6 switchgrass|gb167|FL718671 3026 6100 281 86.5 globlastpWNU91_H7 switchgrass|gb167|DN146028 3027 6101 281 86.2 globlastpWNU91_H8 maize|10v1|BG841044_P1 3028 6102 281 85.6 globlastp WNU91_H9switchgrass|12v1|DN146028_P1 3029 6103 281 85.4 globlastp WNU92_H1sugarcane|10v1|CA115395 3030 6104 282 98.7 globlastp WNU92_H2maize|10v1|BG842702_P1 3031 6105 282 94.8 globlastp WNU92_H3foxtail_millet|11v3|PHY7SI036735M_P1 3032 6106 282 91.3 globlastpWNU92_H11 switchgrass|12v1|FL787392_P1 3033 6107 282 90.6 globlastpWNU92_H4 switchgrass|gb167|FL787392 3034 6108 282 90.6 globlastpWNU96_H17 fescue|gb161|DT685989_P1 3065 6135 285 89.7 globlastpWNU96_H18 oat|11v1|GO586704_P1 3066 6135 285 89.7 globlastp WNU96_H19oat|11v1|GO586971_P1 3067 6135 285 89.7 globlastp WNU96_H20oat|11v1|GR342940_P1 3068 6135 285 89.7 globlastp WNU96_H21oat|11v1|GR356048_P1 3069 6135 285 89.7 globlastp WNU96_H22rice|11v1|BE039823 3070 6136 285 89.1 globlastp WNU96_H23barley|12v1|BF625537_P1 3071 6137 285 89 globlastp WNU96_H24oat|11v1|GO588962_P1 3072 6138 285 88.5 globlastp WNU96_H25cynodon|10v1|BQ825915_T1 3073 6139 285 88.44 glotblastn WNU96_H26cenchrus|gb166|EB658948_P1 3074 6140 285 88.4 globlastp WNU96_H27rye|12v1|DRR001012.102215 3075 6141 285 88.4 globlastp WNU96_H28rye|12v1|DRR001012.24513 3076 6142 285 88.4 globlastp WNU96_H29pseudoroegneria|gb167|FF348077 3077 6143 285 88.36 glotblastn WNU96_H30wheat|12v3|BE419409 3078 6144 285 87.7 globlastp WNU96_H31lolium|10v1|AU249100_P1 3079 6145 285 87.2 globlastp WNU96_H32switchgrass|gb167|FE628032 3080 6146 285 87.07 glotblastn WNU96_H33fescue|gb161|DT694422_P1 3081 6147 285 86.5 globlastp WNU96_H383switchgrass|12v1|SRR187765.118162_P1 3082 6148 285 86.4 globlastpWNU96_H34 rice|11v1|AF074733 3083 6149 285 86.4 globlastp WNU96_H35rice|11v1|AU101070 3084 6150 285 86.39 glotblastn WNU96_H36catharanthus|11v1|EG557678XX1_P1 3085 6151 285 85.7 globlastp WNU96_H37chelidonium|11v1|SRR084752X100509_P1 3086 6152 285 85.7 globlastpWNU96_H38 periwinkle|gb164|EG557678_P1 3087 6151 285 85.7 globlastpWNU96_H39 lovegrass|gb167|EH195517_T1 3088 6153 285 85.62 glotblastnWNU96_H40 wheat|12v3|CA485730 3089 6154 285 85.6 globlastp WNU96_H41oil_palm|11v1|EL682473_P1 3090 6155 285 85.2 globlastp WNU96_H42phalaenopsis|11v1|CB032680_P1 3091 6156 285 85.2 globlastp WNU96_H43artemisia|10v1|EY032469_P1 3092 6157 285 85 globlastp WNU96_H44artemisia|10v1|SRR019254S0089735_P1 3093 6157 285 85 globlastp WNU96_H45eschscholzia|11v1|CD481334XX1_P1 3094 6158 285 85 globlastp WNU96_H46eschscholzia|11v1|SRR014116.106420_P1 3095 6158 285 85 globlastpWNU96_H47 flaveria|11v1|SRR149229.106105_P1 3096 6159 285 85 globlastpWNU96_H48 lettuce|12v1|DW056578_P1 3097 6160 285 85 globlastp WNU96_H49plantago|11v2|SRR066373X112538_P1 3098 6161 285 84.9 globlastp WNU96_H50banana|12v1|ES433157_P1 3099 6162 285 84.6 globlastp WNU96_H51oil_palm|11v1|EL682536_P1 3100 6163 285 84.6 globlastp WNU96_H52amorphophallus|11v2|SRR089351X111826_P1 3101 6164 285 84.5 globlastpWNU96_H53 basilicum|10v1|DY331064_P1 3102 6165 285 84.4 globlastpWNU96_H54 cirsium|11v1|SRR346952.143114_P1 3103 6166 285 84.4 globlastpWNU96_H55 cirsium|11v1|SRR349641.671786_P1 3104 6167 285 84.4 globlastpWNU96_H56 eschscholzia|11v1|CK746606_P1 3105 6168 285 84.4 globlastpWNU96_H57 eschscholzia|11v1|SRR014116.121035_P1 3106 6169 285 84.4globlastp WNU96_H58 eucalyptus|11v2|CU399079_P1 3107 6170 285 84.4globlastp WNU96_H59 fagopyrum|11v1|SRR063689X103613_P1 3108 6171 28584.4 globlastp WNU96_H60 fagopyrum|11v1|SRR063703X112774XX1_P1 3109 6172285 84.4 globlastp WNU96_H61 flaveria|11v1|SRR149229.130605_P1 3110 6173285 84.4 globlastp WNU96_H62 flaveria|11v1|SRR149229.192862_P1 3111 6174285 84.4 globlastp WNU96_H63 flaveria|11v1|SRR149232.10738_P1 3112 6175285 84.4 globlastp WNU96_H64 flaveria|11v1|SRR149232.178235_P1 3113 6176285 84.4 globlastp WNU96_H65 flaveria|11v1|SRR149241.111155_P1 3114 6175285 84.4 globlastp WNU96_H66 gerbera|09v1|AJ750765_P1 3115 6177 285 84.4globlastp WNU96_H67 grape|11v1|GSVIVT01032405001_P1 3116 6178 285 84.4globlastp WNU96_H68 poplar|10v1|BI131568 3117 6179 285 84.4 globlastpWNU96_H68 poplar|13v1|BI131568_P1 3118 6179 285 84.4 globlastp WNU96_H69poplar|10v1|BU824189 3119 6180 285 84.4 globlastp WNU96_H69poplar|13v1|BU824189_P1 3120 6180 285 84.4 globlastp WNU96_H70poppy|11v1|SRR030259.101588_P1 3121 6181 285 84.4 globlastp WNU96_H71utricularia|11v1|SRR094438.113490 3122 6182 285 84.35 glotblastnWNU96_H384 prunus_mume|13v1|CB820134_P1 3123 6183 285 84 globlastpWNU96_H72 prunus|10v1|CB820134 3124 6184 285 84 globlastp WNU96_H73banana|12v1|ES433372_P1 3125 6185 285 83.9 globlastp WNU96_H74banana|12v1|ES437435_P1 3126 6186 285 83.9 globlastp WNU96_H75banana|12v1|FL664940_P1 3127 6187 285 83.9 globlastp WNU96_H76oil_palm|11v1|EY403792_P1 3128 6188 285 83.9 globlastp WNU96_H385castorbean|12v1|EV521260_P1 3129 6189 285 83.7 globlastp WNU96_H77amsonia|11v1|SRR098688X103253_P1 3130 6190 285 83.7 globlastp WNU96_H78arnica|11v1|SRR099034X100196_P1 3131 6191 285 83.7 globlastp WNU96_H79arnica|11v1|SRR099034X109795_P1 3132 6192 285 83.7 globlastp WNU96_H80cannabis|12v1|EW701714_P1 3133 6193 285 83.7 globlastp WNU96_H81castorbean|11v1|EV521260 3134 6189 285 83.7 globlastp WNU96_H82catharanthus|11v1|EG557805XX1_P1 3135 6194 285 83.7 globlastp WNU96_H83cleome_gynandra|10v1|SRR015532S0032808_P1 3136 6195 285 83.7 globlastpWNU96_H84 cucurbita|11v1|SRR091276X130567_P1 3137 6196 285 83.7globlastp WNU96_H85 euphorbia|11v1|DV112950_P1 3138 6197 285 83.7globlastp WNU96_H86 flaveria|11v1|SRR149232.108657_P1 3139 6198 285 83.7globlastp WNU96_H87 flaveria|11v1|SRR149241.101479_P1 3140 6199 285 83.7globlastp WNU96_H88 flaveria|11v1|SRR149241.116281_P1 3141 6200 285 83.7globlastp WNU96_H89 flaveria|11v1|SRR149241.163891_P1 3142 6200 285 83.7globlastp WNU96_H90 hornbeam|12v1|SRR364455.10182_P1 3143 6201 285 83.7globlastp WNU96_H91 phyla|11v2|SRR099035X102200_P1 3144 6202 285 83.7globlastp WNU96_H92 plantago|11v2|SRR066373X103518_P1 3145 6203 285 83.7globlastp WNU96_H93 poplar|10v1|AI162838 3146 6204 285 83.7 globlastpWNU96_H93 poplar|13v1|AI162838_P1 3147 6204 285 83.7 globlastp WNU96_H94poppy|11v1|FE964351_P1 3148 6205 285 83.7 globlastp WNU96_H95sarracenia|11v1|SRR192669.161055 3149 6206 285 83.7 globlastp WNU96_H96sunflower|12v1|CD848611XX1 3150 6207 285 83.7 globlastp WNU96_H97sunflower|12v1|EL432812 3151 6207 285 83.7 globlastp WNU96_H98tragopogon|10v1|SRR020205S0003341 3152 6208 285 83.7 globlastp WNU96_H99utricularia|11v1|SRR094438.101639 3153 6209 285 83.7 globlastpWNU96_H100 pseudotsuga|10v1|SRR065119S0009880 3154 6210 285 83.6globlastp WNU96_H101 rye|12v1|DRR001012.3832 3155 6211 285 83.6globlastp WNU96_H102 cedrus|11v1|SRR065007X100354_T1 3156 6212 285 83.56glotblastn WNU96_H103 apple|11v1|CN489950_P1 3157 6213 285 83.2globlastp WNU96_H104 pepper|12v1|SRR203275X41866D1_P1 3158 6213 285 83.2globlastp WNU96_H386 bean|12v2|CA897774_P1 3159 6214 285 83 globlastpWNU96_H387 monkeyflower|12v1|DV206951_P1 3160 6215 285 83 globlastpWNU96_H388 monkeyflower|12v1|DV211975_P1 3161 6216 285 83 globlastpWNU96_H389 prunus_mume|13v1|BU039430_P1 3162 6217 285 83 globlastpWNU96_H105 ambrosia|11v1|FG943037XX1_P1 3163 6218 285 83 globlastpWNU96_H106 ambrosia|11v1|SRR346935.334229_P1 3164 6218 285 83 globlastpWNU96_H107 ambrosia|11v1|SRR346943.122513XX1_P1 3165 6219 285 83globlastp WNU96_H108 aquilegia|10v2|JGIAC006234_P1 3166 6220 285 83globlastp WNU96_H109 b_juncea|12v1|E6ANDIZ01A5B9Z_P1 3167 6221 285 83globlastp WNU96_H110 b_juncea|12v1|E6ANDIZ01AU7ID_P1 3168 6222 285 83globlastp WNU96_H111 b_juncea|12v1|E6ANDIZ01C4NDD_P1 3169 6223 285 83globlastp WNU96_H112 b_oleracea|gb161|DY026186_P1 3170 6224 285 83globlastp WNU96_H113 b_rapa|11v1|BG544961_P1 3171 6224 285 83 globlastpWNU96_H114 b_rapa|11v1|CD812537_P1 3172 6221 285 83 globlastp WNU96_H115b_rapa|11v1|CD816901_P1 3173 6225 285 83 globlastp WNU96_H116b_rapa|11v1|L33536_P1 3174 6223 285 83 globlastp WNU96_H118canola|11v1|CN728700XX1_P1 3175 6223 285 83 globlastp WNU96_H119canola|11v1|CN731386XX1_P1 3176 6223 285 83 globlastp WNU96_H120canola|11v1|CN731668XX1_P1 3177 6223 285 83 globlastp WNU96_H121canola|11v1|CN732454XX1_P1 3178 6224 285 83 globlastp WNU96_H122canola|11v1|DW997477_P1 3179 6224 285 83 globlastp WNU96_H123chelidonium|11v1|SRR084752X110318_P1 3180 6226 285 83 globlastpWNU96_H124 cleome_spinosa|10v1|GR934804XX1_P1 3181 6227 285 83 globlastpWNU96_H125 cleome_spinosa|10v1|SRR015531S0005856_P1 3182 6228 285 83globlastp WNU96_H126 cotton|11v1|BE052151_P1 3183 6229 285 83 globlastpWNU96_H127 cucumber|09v1|CK085637_P1 3184 6230 285 83 globlastpWNU96_H128 euonymus|11v1|SRR070038X122109_P1 3185 6231 285 83 globlastpWNU96_H129 euonymus|11v1|SRR070038X188652_P1 3186 6232 285 83 globlastpWNU96_H130 flaveria|11v1|SRR149232.112624_P1 3187 6233 285 83 globlastpWNU96_H131 gossypium_raimondii|12v1|BE052151_P1 3188 6229 285 83globlastp WNU96_H132 grape|11v1|GSVIVT01007667001_P1 3189 6234 285 83globlastp WNU96_H133 kiwi|gb166|FG425898_P1 3190 6235 285 83 globlastpWNU96_H134 lettuce|12v1|DW044410_P1 3191 6236 285 83 globlastpWNU96_H135 lettuce|12v1|DW047896_P1 3192 6237 285 83 globlastpWNU96_H136 monkeyflower|10v1|DV206951 3193 6215 285 83 globlastpWNU96_H137 monkeyflower|10v1|DV211975 3194 6216 285 83 globlastpWNU96_H138 parthenium|10v1|GW779132_P1 3195 6238 285 83 globlastpWNU96_H139 platanus|11v1|SRR096786X10437_P1 3196 6239 285 83 globlastpWNU96_H140 poplar|10v1|AI164349 3197 6240 285 83 globlastp WNU96_H140poplar|13v1|AI164349_P1 3198 6240 285 83 globlastp WNU96_H141prunus|10v1|BU039430 3199 6217 285 83 globlastp WNU96_H142rose|12v1|SRR397984.100042 3200 6241 285 83 globlastp WNU96_H143senecio|gb170|DY661161 3201 6242 285 83 globlastp WNU96_H144silene|11v1|SRR096785X100751 3202 6243 285 83 globlastp WNU96_H145spurge|gb161|DV112950 3203 6244 285 83 globlastp WNU96_H146spurge|gb161|DV113682 3204 6245 285 83 globlastp WNU96_H147tragopogon|10v1|SRR020205S0012356 3205 6246 285 83 globlastp WNU96_H148tragopogon|10v1|SRR020205S0135148 3206 6247 285 83 globlastp WNU96_H149tripterygium|11v1|SRR098677X107685XX1 3207 6248 285 83 globlastpWNU96_H150 euphorbia|11v1|DV113682XX1_T1 3208 6249 285 82.99 glotblastnWNU96_H151 flaveria|11v1|SRR149241.184143_T1 3209 6250 285 82.99glotblastn WNU96_H152 strawberry|11v1|EX672486 3210 6251 285 82.99glotblastn WNU96_H153 cedrus|11v1|SRR065007X133095_P1 3211 6252 285 82.9globlastp WNU96_H154 cycas|gb166|CB092905_P1 3212 6253 285 82.9globlastp WNU96_H155 spruce|11v1|AF051252 3213 6254 285 82.9 globlastpWNU96_H156 spruce|11v1|ES252863 3214 6254 285 82.9 globlastp WNU96_H157spruce|11v1|ES259552XX2 3215 6254 285 82.9 globlastp WNU96_H158spruce|11v1|EX331635XX1 3216 6254 285 82.9 globlastp WNU96_H159spruce|11v1|SRR064180X149006 3217 6254 285 82.9 globlastp WNU96_H160spruce|11v1|SRR064180X162014 3218 6255 285 82.88 glotblastn WNU96_H390zostera|12v1|SRR057351X104422D1_P1 3219 6256 285 82.7 globlastpWNU96_H161 zostera|10v1|SRR057351S0016869 3220 6256 285 82.7 globlastpWNU96_H391 zostera|12v1|AM770335_P1 3221 6257 285 82.6 globlastpWNU96_H162 zostera|10v1|AM770335 3222 6257 285 82.6 globlastp WNU96_H163amorphophallus|11v2|SRR089351X101338_P1 3223 6258 285 82.4 globlastpWNU96_H164 cacao|10v1|CU473578_P1 3224 6259 285 82.4 globlastpWNU96_H165 canola|11v1|CN726672XX1_T1 3225 6260 285 82.31 glotblastnWNU96_H166 cirsium|11v1|SRR346952.1008646_T1 3226 6261 285 82.31glotblastn WNU96_H167 fagopyrum|11v1|SRR063689X117854_T1 3227 6262 28582.31 glotblastn WNU96_H168 thalictrum|11v1|SRR096787X102875 3228 6263285 82.31 glotblastn WNU96_H169 thalictrum|11v1|SRR096787X115641 32296264 285 82.31 glotblastn WNU96_H392 castorbean|12v1|T15058_P1 3230 6265285 82.3 globlastp WNU96_H393 monkeyflower|12v1|DV206555_P1 3231 6266285 82.3 globlastp WNU96_H170 ambrosia|11v1|SRR346935.101575_P1 32326267 285 82.3 globlastp WNU96_H171 ambrosia|11v1|SRR346935.105796_P13233 6268 285 82.3 globlastp WNU96_H172 aquilegia|10v2|JGIAC009870_P13234 6269 285 82.3 globlastp WNU96_H173 b_juncea|12v1|E6ANDIZ01A3634_P13235 6270 285 82.3 globlastp WNU96_H174 b_juncea|12v1|E6ANDIZ01A4ELM_P13236 6271 285 82.3 globlastp WNU96_H175 b_juncea|12v1|EF165000_P1 32376272 285 82.3 globlastp WNU96_H176 b_oleracea|gb161|DY025832_P1 32386273 285 82.3 globlastp WNU96_H177 b_oleracea|gb161|DY026153_P1 32396274 285 82.3 globlastp WNU96_H178 basilicum|10v1|DY337098_P1 3240 6275285 82.3 globlastp WNU96_H179 cacao|10v1|EH057746_P1 3241 6276 285 82.3globlastp WNU96_H180 canola|11v1|CN725957XX1_P1 3242 6273 285 82.3globlastp WNU96_H181 canola|11v1|CN730422_P1 3243 6274 285 82.3globlastp WNU96_H182 canola|11v1|CN732102_P1 3244 6277 285 82.3globlastp WNU96_H183 cassava|09v1|CK641581_P1 3245 6278 285 82.3globlastp WNU96_H185 chestnut|gb170|SRR006295S0003019_P1 3246 6279 28582.3 globlastp WNU96_H186 cleome_gynandra|10v1|SRR015532S0002168_P1 32476280 285 82.3 globlastp WNU96_H187 cleome_spinosa|10v1|GR932217XX1_P13248 6280 285 82.3 globlastp WNU96_H188 cotton|11v1|BG443711_P1 32496281 285 82.3 globlastp WNU96_H189 eucalyptus|11v2|SRR001659X129057_P13250 6282 285 82.3 globlastp WNU96_H190 fagopyrum|11v1|SRR063689X5808_P13251 6283 285 82.3 globlastp WNU96_H191gossypium_raimondii|12v1|BG443711_P1 3252 6281 285 82.3 globlastpWNU96_H192 humulus|11v1|EX519727XX1_P1 3253 6284 285 82.3 globlastpWNU96_H193 humulus|11v1|EX519727XX2_P1 3254 6284 285 82.3 globlastpWNU96_H194 ipomoea_nil|10v1|CJ740287_P1 3255 6285 285 82.3 globlastpWNU96_H196 nasturtium|11v1|SRR032558.125661_P1 3256 6286 285 82.3globlastp WNU96_H197 oak|10v1|FP024996_P1 3257 6279 285 82.3 globlastpWNU96_H198 pigeonpea|11v1|GR465377_P1 3258 6287 285 82.3 globlastpWNU96_H199 platanus|11v1|SRR096786X100140_P1 3259 6288 285 82.3globlastp WNU96_H200 radish|gb164|EV525531 3260 6289 285 82.3 globlastpWNU96_H201 radish|gb164|EV527006 3261 6290 285 82.3 globlastp WNU96_H202radish|gb164|EV538492 3262 6291 285 82.3 globlastp WNU96_H203radish|gb164|EV542487 3263 6292 285 82.3 globlastp WNU96_H204radish|gb164|FD950409 3264 6293 285 82.3 globlastp WNU96_H205senecio|gb170|SRR006592S0001217 3265 6294 285 82.3 globlastp WNU96_H206sunflower|12v1|CD851129XX1 3266 6295 285 82.3 globlastp WNU96_H207sunflower|12v1|CD853270XX1 3267 6268 285 82.3 globlastp WNU96_H208sunflower|12v1|CF076631 3268 6295 285 82.3 globlastp WNU96_H209sunflower|12v1|DY928155 3269 6295 285 82.3 globlastp WNU96_H210sunflower|12v1|DY930550 3270 6295 285 82.3 globlastp WNU96_H211sunflower|12v1|DY955104 3271 6268 285 82.3 globlastp WNU96_H212sunflower|12v1|DY958350 3272 6268 285 82.3 globlastp WNU96_H213sunflower|12v1|DY958886 3273 6295 285 82.3 globlastp WNU96_H214sunflower|12v1|EE656653 3274 6295 285 82.3 globlastp WNU96_H215tabernaemontana|11v1|SRR098689X104457 3275 6296 285 82.3 globlastpWNU96_H216 thalictrum|11v1|SRR096787X104709 3276 6297 285 82.3 globlastpWNU96_H217 triphysaria|10v1|CB815236 3277 6298 285 82.3 globlastpWNU96_H218 watermelon|11v1|AM719795 3278 6299 285 82.3 globlastpWNU96_H219 abies|11v2|SRR098676X111808_P1 3279 6300 285 82.2 globlastpWNU96_H220 abies|11v2|SRR098676X13377_P1 3280 6301 285 82.2 globlastpWNU96_H221 cycas|gb166|EX920982_P1 3281 6302 285 82.2 globlastpWNU96_H222 maritime_pine|10v1|AL750653_P1 3282 6303 285 82.2 globlastpWNU96_H223 nasturtium|11v1|GH161772_P1 3283 6304 285 82.2 globlastpWNU96_H224 pine|10v2|AA556393_P1 3284 6305 285 82.2 globlastp WNU96_H225spruce|11v1|ES248525XX1 3285 6306 285 82.2 globlastp WNU96_H226pine|10v2|AI812874XX1_T1 3286 6307 285 82.19 glotblastn WNU96_H227pine|10v2|AW985265_T1 3287 6307 285 82.19 glotblastn WNU96_H228spruce|11v1|FD734799XX1 3288 6308 285 82.19 glotblastn WNU96_H229petunia|gb171|AF088913_P1 3289 6309 285 82 globlastp WNU96_H230euonymus|11v1|SRR070038X218801_P1 3290 6310 285 81.9 globlastpWNU96_H231 liquorice|gb171|FS241298_P1 3291 6311 285 81.9 globlastpWNU96_H232 liquorice|gb171|FS251321_P1 3292 6312 285 81.9 globlastpWNU96_H233 peanut|10v1|CO897522XX1_P1 3293 6313 285 81.8 globlastpWNU96_H234 pepper|12v1|BM063049XX1_P1 3294 6314 285 81.8 globlastpWNU96_H235 soybean|11v1|GLYMA02G04400 3295 6315 285 81.8 globlastpWNU96_H235 soybean|12v1|GLYMA02G04400_P1 3296 6315 285 81.8 globlastpWNU96_H236 gerbera|09v1|AJ754494_T1 3297 6316 285 81.63 glotblastnWNU96_H237 vinca|11v1|SRR098690X138305XX1 3298 6317 285 81.63 glotblastnWNU96_H394 prunus_mume|13v1|CV051773_P1 3299 6318 285 81.6 globlastpWNU96_H238 acacia|10v1|FS585541_P1 3300 6319 285 81.6 globlastpWNU96_H239 amsonia|11v1|SRR098688X113310_P1 3301 6320 285 81.6 globlastpWNU96_H240 antirrhinum|gb166|AJ786850_P1 3302 6321 285 81.6 globlastpWNU96_H241 apple|11v1|CN581999_P1 3303 6322 285 81.6 globlastpWNU96_H242 artemisia|10v1|EY031879_P1 3304 6323 285 81.6 globlastpWNU96_H243 b_juncea|12v1|E6ANDIZ01A83XD_P1 3305 6324 285 81.6 globlastpWNU96_H244 b_juncea|12v1|E6ANDIZ01AJ5DD_P1 3306 6325 285 81.6 globlastpWNU96_H245 b_juncea|12v1|E6ANDIZ01AL3QQ_P1 3307 6326 285 81.6 globlastpWNU96_H246 b_juncea|12v1|E6ANDIZ01D73PK_P1 3308 6327 285 81.6 globlastpWNU96_H247 b_oleracea|gb161|DY027359_P1 3309 6328 285 81.6 globlastpWNU96_H248 b_oleracea|gb161|DY028923_P1 3310 6329 285 81.6 globlastpWNU96_H249 canola|11v1|CN726337XX1_P1 3311 6324 285 81.6 globlastpWNU96_H250 centaurea|11v1|EH737154XX1_P1 3312 6330 285 81.6 globlastpWNU96_H251 centaurea|11v1|EH745871_P1 3313 6331 285 81.6 globlastpWNU96_H252 cirsium|11v1|SRR346952.110585_P1 3314 6332 285 81.6 globlastpWNU96_H253 clementine|11v1|CB291758_P1 3315 6333 285 81.6 globlastpWNU96_H254 clementine|11v1|CV886204_P1 3316 6334 285 81.6 globlastpWNU96_H255 cleome_gynandra|10v1|SRR015532S0041884_P1 3317 6335 285 81.6globlastp WNU96_H256 cotton|11v1|BE052292XX1_P1 3318 6336 285 81.6globlastp WNU96_H257 cucumber|09v1|CF674910_P1 3319 6337 285 81.6globlastp WNU96_H258 cucurbita|11v1|SRR091276X104293_P1 3320 6337 28581.6 globlastp WNU96_H259 cucurbita|11v1|SRR091276X107888_P1 3321 6338285 81.6 globlastp WNU96_H260 cucurbita|11v1|SRR091276X108131_P1 33226337 285 81.6 globlastp WNU96_H261 cynara|gb167|GE586291_P1 3323 6332285 81.6 globlastp WNU96_H262 euonymus|11v1|SRR070038X112272_P1 33246339 285 81.6 globlastp WNU96_H263 euonymus|11v1|SRR070038X322834_P13325 6339 285 81.6 globlastp WNU96_H264flaveria|11v1|SRR149232.127853_P1 3326 6340 285 81.6 globlastpWNU96_H265 gossypium_raimondii|12v1|BE052292_P1 3327 6336 285 81.6globlastp WNU96_H266 guizotia|10v1|GE559073_P1 3328 6341 285 81.6globlastp WNU96_H267 hornbeam|12v1|SRR364455.11856_P1 3329 6342 285 81.6globlastp WNU96_H268 melon|10v1|CF674910_P1 3330 6337 285 81.6 globlastpWNU96_H269 orobanche|10v1|SRR023189S0001498_P1 3331 6343 285 81.6globlastp WNU96_H270 orobanche|10v1|SRR023189S0080494_P1 3332 6343 28581.6 globlastp WNU96_H271 papaya|gb165|EX291945_P1 3333 6344 285 81.6globlastp WNU96_H272 peanut|10v1|CD038392_P1 3334 6345 285 81.6globlastp WNU96_H273 physcomitrella|10v1|BJ161027_P1 3335 6346 285 81.6globlastp WNU96_H274 radish|gb164|EV545037 3336 6347 285 81.6 globlastpWNU96_H275 radish|gb164|EW725335 3337 6348 285 81.6 globlastp WNU96_H276radish|gb164|FD529248 3338 6349 285 81.6 globlastp WNU96_H277rose|12v1|BQ106054XX1 3339 6350 285 81.6 globlastp WNU96_H278soybean|11v1|GLYMA05G02570 3340 6351 285 81.6 globlastp WNU96_H278soybean|12v1|GLYMA05G02570_P1 3341 6351 285 81.6 globlastp WNU96_H279strawberry|11v1|DV438988 3342 6352 285 81.6 globlastp WNU96_H280strawberry|11v1|EX657357 3343 6353 285 81.6 globlastp WNU96_H281tabernaemontana|11v1|SRR098689X104588 3344 6354 285 81.6 globlastpWNU96_H282 triphysaria|10v1|EX984214 3345 6355 285 81.6 globlastpWNU96_H283 triphysaria|10v1|EY008346 3346 6355 285 81.6 globlastpWNU96_H284 walnuts|gb166|CV195836 3347 6356 285 81.6 globlastpWNU96_H285 watermelon|11v1|DV632841 3348 6337 285 81.6 globlastpWNU96_H286 gnetum|10v1|DN955837_P1 3349 6357 285 81.5 globlastpWNU96_H287 rye|12v1|DRR001012.12244 3350 6358 285 81.5 globlastpWNU96_H288 tamarix|gb166|CF200068 3351 6359 285 81.5 globlastpWNU96_H289 euonymus|11v1|SRR070038X11633_P1 3352 6360 285 81.3 globlastpWNU96_H290 euonymus|11v1|SRR070038X139772_P1 3353 6361 285 81.3globlastp WNU96_H291 pepper|12v1|AA840728_P1 3354 6362 285 81.3globlastp WNU96_H292 tripterygium|11v1|SRR098677X105260 3355 6363 28581.3 globlastp WNU96_H293 chickpea|11v1|GR402447XX1 3356 6364 285 81.2globlastp WNU96_H293 chickpea|13v2|ES560331_P1 3357 6364 285 81.2globlastp WNU96_H294 oil_palm|11v1|EL684166_P1 3358 6365 285 81.2globlastp WNU96_H295 ipomoea_nil|10v1|BJ564015_P1 3359 6366 285 81.1globlastp WNU96_H296 soybean|11v1|GLYMA01G03180 3360 6367 285 81.1globlastp WNU96_H296 soybean|12v1|GLYMA01G03180_P1 3361 6367 285 81.1globlastp WNU96_H395 soybean|12v1|GLYMA17G09280_P1 3362 6368 285 81globlastp WNU96_H297 ambrosia|11v1|SRR346943.104466_P1 3363 6369 285 81globlastp WNU96_H298 arabidopsis_lyrata|09v1|BQ834538_P1 3364 6370 28581 globlastp WNU96_H299 arabidopsis_lyrata|09v1|JGIAL007298_P1 3365 6371285 81 globlastp WNU96_H300 arabidopsis|10v1|AT1G23290_P1 3366 6372 28581 globlastp WNU96_H301 arabidopsis|10v1|AT1G70600_P1 3367 6371 285 81globlastp WNU96_H302 aristolochia|10v1|SRR039082S0197812_P1 3368 6373285 81 globlastp WNU96_H303 aristolochia|10v1|SRR039082S0498980_P1 33696374 285 81 globlastp WNU96_H304 arnica|11v1|SRR099034X170873_P1 33706375 285 81 globlastp WNU96_H305 b_juncea|12v1|E6ANDIZ01ASPS4_P1 33716376 285 81 globlastp WNU96_H306 b_rapa|11v1|BQ791115_P1 3372 6377 28581 globlastp WNU96_H307 b_rapa|11v1|CD812260_P1 3373 6378 285 81globlastp WNU96_H308 beech|11v1|SRR006294.10896_P1 3374 6379 285 81globlastp WNU96_H309 blueberry|12v1|SRR353282X15999D1_P1 3375 6380 28581 globlastp WNU96_H310 cannabis|12v1|GR221832_P1 3376 6381 285 81globlastp WNU96_H311 cassava|09v1|DV441380_P1 3377 6382 285 81 globlastpWNU96_H312 centaurea|11v1|EH751538_P1 3378 6383 285 81 globlastpWNU96_H313 cirsium|11v1|SRR346952.1023744_P1 3379 6383 285 81 globlastpWNU96_H314 cirsium|11v1|SRR349641.457773_P1 3380 6383 285 81 globlastpWNU96_H315 flaveria|11v1|SRR149241.191636_P1 3381 6384 285 81 globlastpWNU96_H316 grape|11v1|GSVIVT01004075001_P1 3382 6385 285 81 globlastpWNU96_H317 kiwi|gb166|FG432617_P1 3383 6386 285 81 globlastp WNU96_H318orange|11v1|CB291758_P1 3384 6387 285 81 globlastp WNU96_H319orobanche|10v1|SRR023189S0028718_P1 3385 6388 285 81 globlastpWNU96_H320 peanut|10v1|EG373102XX1_P1 3386 6389 285 81 globlastpWNU96_H321 peanut|10v1|ES717832_P1 3387 6390 285 81 globlastp WNU96_H322prunus|10v1|CN445705 3388 6391 285 81 globlastp WNU96_H323soybean|11v1|GLYMA17G09280 3389 6368 285 81 globlastp WNU96_H323soybean|12v1|GLYMA17G09280T2_P1 3390 6368 285 81 globlastp WNU96_H324sunflower|12v1|EL430773 3391 6392 285 81 globlastp WNU96_H325thellungiella_halophilum|11v1|DN773413 3392 6371 285 81 globlastpWNU96_H326 thellungiella_halophilum|11v1|DN773986 3393 6393 285 81globlastp WNU96_H327 thellungiella_parvulum|11v1|DN773413 3394 6394 28581 globlastp WNU96_H328 thellungiella_parvulum|11v1|DN773986 3395 6395285 81 globlastp WNU96_H329 triphysaria|10v1|BE574800 3396 6396 285 81globlastp WNU96_H330 valeriana|11v1|SRR099039X109958 3397 6397 285 81globlastp WNU96_H331 radish|gb164|EX772405 3398 6398 285 80.95glotblastn WNU96_H332 spruce|11v1|SRR064180X118440 3399 6399 285 80.82glotblastn WNU96_H333 fagopyrum|11v1|SRR063703X102046_P1 3400 6400 28580.8 globlastp WNU96_H334 fern|gb171|BP916009_P1 3401 6401 285 80.8globlastp WNU96_H335 marchantia|gb166|BJ843643_P1 3402 6402 285 80.8globlastp WNU96_H336 marchantia|gb166|C95754_P1 3403 6403 285 80.8globlastp WNU96_H337 taxus|10v1|SRR032523S0004042 3404 6404 285 80.8globlastp WNU96_H338 curcuma|10v1|DY383806_P1 3405 6405 285 80.7globlastp WNU96_H339 ginger|gb164|DY348420_P1 3406 6405 285 80.7globlastp WNU96_H340 clover|gb162|BB931377_P1 3407 6406 285 80.5globlastp WNU96_H341 blueberry|12v1|SRR353282X40202D1_P1 3408 6407 28580.4 globlastp WNU96_H342 eggplant|10v1|FS001347_P1 3409 6408 285 80.4globlastp WNU96_H343 ipomoea_batatas|10v1|BU690148_P1 3410 6409 285 80.4globlastp WNU96_H344 pigeonpea|11v1|GW354286_P1 3411 6410 285 80.4globlastp WNU96_H345 pigeonpea|11v1|SRR054580X108215_P1 3412 6411 28580.4 globlastp WNU96_H346 tomato|11v1|BG126263 3413 6408 285 80.4globlastp WNU96_H396 olea|13v1|SRR014463X26593D1_P1 3414 6412 285 80.3globlastp WNU96_H347 arnica|11v1|SRR099034X110845_P1 3415 6413 285 80.3globlastp WNU96_H348 beech|11v1|SRR006293.11638_P1 3416 6414 285 80.3globlastp WNU96_H349 cassava|09v1|CK641743_P1 3417 6415 285 80.3globlastp WNU96_H350 ceratodon|10v1|SRR074890S0020449_P1 3418 6416 28580.3 globlastp WNU96_H351 ceratodon|10v1|SRR074890S0029921_P1 3419 6417285 80.3 globlastp WNU96_H352 ceratodon|10v1|SRR074890S0064914_P1 34206416 285 80.3 globlastp WNU96_H353 cleome_spinosa|10v1|GR934531_P1 34216418 285 80.3 globlastp WNU96_H354 cotton|11v1|AI731642_P1 3422 6419 28580.3 globlastp WNU96_H355 cotton|11v1|CO087199XX1_P1 3423 6419 285 80.3globlastp WNU96_H356 gossypium_raimondii|12v1|AI731642_P1 3424 6419 28580.3 globlastp WNU96_H357 hevea|10v1|EC600120_P1 3425 6420 285 80.3globlastp WNU96_H358 humulus|11v1|ES654425_P1 3426 6421 285 80.3globlastp WNU96_H359 lotus|09v1|AW428898_P1 3427 6422 285 80.3 globlastpWNU96_H360 physcomitrella|10v1|AW126626_P1 3428 6423 285 80.3 globlastpWNU96_H361 physcomitrella|10v1|AW126763_P1 3429 6424 285 80.3 globlastpWNU96_H362 physcomitrella|10v1|AW145241_P1 3430 6425 285 80.3 globlastpWNU96_H363 physcomitrella|10v1|AW561507_P1 3431 6426 285 80.3 globlastpWNU96_H364 soybean|11v1|GLYMA04G36140 3432 6427 285 80.3 globlastpWNU96_H364 soybean|12v1|GLYMA04G36140_P1 3433 6427 285 80.3 globlastpWNU96_H365 soybean|11v1|GLYMA06G18800 3434 6427 285 80.3 globlastpWNU96_H365 soybean|12v1|GLYMA06G18800_P1 3435 6427 285 80.3 globlastpWNU96_H366 tea|10v1|FE861453 3436 6428 285 80.3 globlastp WNU96_H367triphysaria|10v1|EY132075 3437 6429 285 80.3 globlastp WNU96_H368valeriana|11v1|SRR099039X100712 3438 6430 285 80.3 globlastp WNU96_H369nasturtium|11v1|GH168713XX1_T1 3439 6431 285 80.27 glotblastn WNU96_H370thalictrum|11v1|SRR096787X100084 3440 6432 285 80.27 glotblastnWNU96_H371 wheat|12v3|ERR125558X344920D1 3441 6433 285 80.27 glotblastnWNU96_H372 amborella|12v3|SRR038635.54053_P1 3442 6434 285 80.1globlastp WNU96_H373 coffea|10v1|DV664105_P1 3443 6435 285 80.1globlastp WNU96_H374 fagopyrum|11v1|SRR063689X1162_P1 3444 6436 285 80.1globlastp WNU96_H375 fern|gb171|BP911784_P1 3445 6437 285 80.1 globlastpWNU96_H376 zamia|gb166|FD767255 3446 6438 285 80.1 globlastp WNU96_H377lotus|09v1|BE122486_P1 3447 6439 285 80 globlastp WNU97_H23switchgrass|12v1|DN141383_P1 3448 6440 286 93.9 globlastp WNU97_H1switchgrass|gb167|DN141383 3449 6441 286 93.9 globlastp WNU97_H2sorghum|12v1|SB04G030840 3450 6442 286 93.5 globlastp WNU97_H24switchgrass|12v1|FL700367_P1 3451 6443 286 93.1 globlastp WNU97_H3foxtail_millet|11v3|PHY7SI017105M_P1 3452 6444 286 93.1 globlastpWNU97_H4 foxtail_millet|11v3|PHY7SI017100M_P1 3453 6445 286 92.9globlastp WNU97_H5 millet|10v1|EVO454PM029707_P1 3454 6446 286 92.9globlastp WNU97_H6 sugarcane|10v1|BQ537415 3455 6447 286 92.2 globlastpWNU97_H7 rice|11v1|AU030834 3456 6448 286 91.8 globlastp WNU97_H8maize|10v1|AI619236_P1 3457 6449 286 91.2 globlastp WNU97_H9maize|10v1|AI395902_P1 3458 6450 286 90.4 globlastp WNU97_H10brachypodium|12v1|BRADI3G52490_P1 3459 6451 286 88.5 globlastp WNU97_H11brachypodium|12v1|BRADI3G52480_T1 3460 6452 286 88.05 glotblastnWNU97_H12 rye|12v1|DRR001012.374006 3461 6453 286 87.42 glotblastnWNU97_H13 brachypodium|12v1|BRADI4G20910_P1 3462 6454 286 87.4 globlastpWNU97_H14 wheat|12v3|BE398510 3463 6455 286 87.4 globlastp WNU97_H15wheat|12v3|BE637843 3464 6456 286 87.4 globlastp WNU97_H16barley|12v1|BI949877_P1 3465 6457 286 87.3 globlastp WNU97_H17foxtail_millet|11v3|EC613380_P1 3466 6458 286 86.2 globlastp WNU97_H25switchgrass|12v1|FE610507_P1 3467 6459 286 86 globlastp WNU97_H18switchgrass|gb167|FE610507 3468 6459 286 86 globlastp WNU97_H19rice|11v1|BE039832 3469 6460 286 85.6 globlastp WNU97_H20barley|12v1|CB870420_P1 3470 6461 286 85.5 globlastp WNU97_H21brachypodium|12v1|BRADI5G20500_P1 3471 6462 286 84.3 globlastp WNU97_H26switchgrass|12v1|HO302712_P1 3472 6463 286 81.5 globlastp WNU97_H22oil_palm|11v1|SRR190698.333_P1 3473 6464 286 81.5 globlastp WNU98_H1sorghum|12v1|SB12V2PRD003639 3474 6465 287 97.7 globlastp WNU98_H3maize|10v1|AI834458_P1 3475 6466 287 90.4 globlastp WNU98_H21switchgrass|12v1|FL696742_P1 3476 6467 287 86.5 globlastp WNU98_H9switchgrass|gb167|FL696742 3477 6468 287 86.5 globlastp WNU98_H11brachypodium|12v1|BRADI3G36420T2_P1 3478 6469 287 83 globlastp WNU98_H17millet|10v1|CD725866_P1 3479 6470 287 80.5 globlastp WNU98_H18brachypodium|12v1|BRADI3G15400_P1 3480 6471 287 80.3 globlastp WNU100_H1sugarcane|10v1|CA080221 3481 6472 289 97.3 globlastp WNU100_H2maize|10v1|AI920330_P1 3482 6473 289 95.3 globlastp WNU100_H3maize|10v1|AI372343_P1 3483 6474 289 92.4 globlastp WNU100_H21switchgrass|12v1|DN145760_P1 3484 6475 289 92.2 globlastp WNU100_H4foxtail_millet|11v3|PHY7SI022041M_P1 3485 6476 289 91.6 globlastpWNU100_H22 switchgrass|12v1|DN143054_P1 3486 6477 289 91.3 globlastpWNU100_H5 millet|10v1|EVO454PM004855_P1 3487 6478 289 89.5 globlastpWNU100_H6 rice|11v1|BE039691 3488 6479 289 85 globlastp WNU100_H7brachypodium|12v1|BRADI2G27870T2_P1 3489 6480 289 84.8 globlastpWNU100_H8 switchgrass|gb167|FE607111 3490 6481 289 84.4 globlastpWNU100_H9 rye|12v1|BE438576 3491 6482 289 83.3 globlastp WNU100_H10rye|12v1|BE587236 3492 6483 289 83 globlastp WNU100_H11wheat|12v3|BE425285 3493 6484 289 82.4 globlastp WNU100_H12oat|11v1|GO590964_P1 3494 6485 289 82 globlastp WNU100_H13sugarcane|10v1|BU103330 3495 6486 289 81.4 globlastp WNU100_H14sorghum|12v1|SB03G012980P1 3496 6487 289 81.2 globlastp WNU100_H15rice|11v1|AF251077 3497 6488 289 80.9 globlastp WNU100_H16maize|10v1|AW330985_P1 3498 6489 289 80.8 globlastp WNU100_H17switchgrass|gb167|DN145169 3499 6490 289 80.5 globlastp WNU100_H23switchgrass|12v1|FE614478_P1 3500 6491 289 80.3 globlastp WNU100_H18brachypodium|12v1|BRADI2G11960_P1 3501 6492 289 80.2 globlastpWNU100_H19 foxtail_millet|11v3|EC613315_P1 3502 6493 289 80 globlastpWNU100_H20 switchgrass|gb167|FE614478 3503 6494 289 80 globlastpWNU101_H293 switchgrass|12v1|FL890785_P1 3504 290 290 100 globlastpWNU101_H1 foxtail_millet|11v3|PHY7SI037950M_P1 3505 290 290 100globlastp WNU101_H2 maize|10v1|AI947327_P1 3506 290 290 100 globlastpWNU101_H3 rice|11v1|AA751811 3507 290 290 100 globlastp WNU101_H4rice|11v1|BM422117 3508 290 290 100 globlastp WNU101_H5sugarcane|10v1|CA078742 3509 290 290 100 globlastp WNU101_H6sugarcane|10v1|CA094200 3510 290 290 100 globlastp WNU101_H7switchgrass|gb167|FE627194 3511 290 290 100 globlastp WNU101_H8switchgrass|gb167|FL890785 3512 290 290 100 globlastp WNU101_H294prunus_mume|13v1|CV048453_P1 3513 6495 290 99.3 globlastp WNU101_H295switchgrass|12v1|FE599229_P1 3514 6496 290 99.3 globlastp WNU101_H296switchgrass|12v1|FE627193_P1 3515 6497 290 99.3 globlastp WNU101_H297switchgrass|12v1|PVJGIV8034532_P1 3516 6496 290 99.3 globlastp WNU101_H9cannabis|12v1|SOLX00003945_P1 3517 6498 290 99.3 globlastp WNU101_H10cannabis|12v1|SOLX00046973_P1 3518 6498 290 99.3 globlastp WNU101_H11cowpea|12v1|FC457960_P1 3519 6498 290 99.3 globlastp WNU101_H12cynodon|10v1|ES299130_P1 3520 6499 290 99.3 globlastp WNU101_H13foxtail_millet|11v3|PHY7SI015422M_P1 3521 6500 290 99.3 globlastpWNU101_H14 humulus|11v1|ES652347_P1 3522 6498 290 99.3 globlastpWNU101_H15 millet|10v1|EVO454PM082379_P1 3523 6501 290 99.3 globlastpWNU101_H16 millet|10v1|EVO454PM092592_P1 3524 6502 290 99.3 globlastpWNU101_H17 oil_palm|11v1|EL563746_T1 3525 6503 290 99.3 glotblastnWNU101_H18 prunus|10v1|CB821190 3526 6495 290 99.3 globlastp WNU101_H19switchgrass|gb167|FE599229 3527 6496 290 99.3 globlastp WNU101_H20switchgrass|gb167|FE627193 3528 6497 290 99.3 globlastp WNU101_H298bean|12v2|SRR001334.110465_P1 3529 6504 290 98.6 globlastp WNU101_H299castorbean|12v1|AM267346_P1 3530 6505 290 98.6 globlastp WNU101_H300olea|13v1|SRR596004X17743D1_P1 3531 6506 290 98.6 globlastp WNU101_H301soybean|12v1|FG996914_P1 3532 6505 290 98.6 globlastp WNU101_H21amborella|12v3|CV001469_P1 3533 6505 290 98.6 globlastp WNU101_H22amsonia|11v1|SRR098688X107015_P1 3534 6507 290 98.6 globlastp WNU101_H23banana|12v1|BBS767T3_P1 3535 6505 290 98.6 globlastp WNU101_H24banana|12v1|GFXAC186753X5_P1 3536 6505 290 98.6 globlastp WNU101_H25basilicum|10v1|DY323195XX1_P1 3537 6508 290 98.6 globlastp WNU101_H26basilicum|10v1|DY323761_P1 3538 6508 290 98.6 globlastp WNU101_H27bean|12v1|SRR001334.110465 3539 6504 290 98.6 globlastp WNU101_H28beet|12v1|DN911504_P1 3540 6509 290 98.6 globlastp WNU101_H29cacao|10v1|CF973092_P1 3541 6505 290 98.6 globlastp WNU101_H30cannabis|12v1|SOLX00000646_P1 3542 6510 290 98.6 globlastp WNU101_H32catharanthus|11v1|EG556080_P1 3543 6509 290 98.6 globlastp WNU101_H33cleome_gynandral|10v1|SRR015532S0005602_P1 3544 6505 290 98.6 globlastpWNU101_H34 cyamopsis|10v1|EG975384_P1 3545 6505 290 98.6 globlastpWNU101_H35 cynodon|10v1|ES301623_P1 3546 6511 290 98.6 globlastpWNU101_H36 eggplant|10v1|FS036156_P1 3547 6506 290 98.6 globlastpWNU101_H37 eucalyptus|11v2|CD668709_P1 3548 6505 290 98.6 globlastpWNU101_H38 euphorbia|11v1|BG409394_P1 3549 6505 290 98.6 globlastpWNU101_H39 fagopyrum|11v1|SRR063689X10256_P1 3550 6512 290 98.6globlastp WNU101_H40 fagopyrum|11v1|SRR063703X114483_P1 3551 6512 29098.6 globlastp WNU101_H41 grape|11v1|GSVIVT01018060001_P1 3552 6505 29098.6 globlastp WNU101_H42 iceplant|gb164|BE577228_P1 3553 6513 290 98.6globlastp WNU101_H43 ipomoea_nil|10v1|BJ555713_P1 3554 6504 290 98.6globlastp WNU101_H44 kiwi|gb166|FG410882_P1 3555 6514 290 98.6 globlastpWNU101_H45 periwinkle|gb164|EG556080_P1 3556 6509 290 98.6 globlastpWNU101_H46 phyla|11v2|SRR099035X135285_P1 3557 6514 290 98.6 globlastpWNU101_H47 pigeonpea|11v1|GR471946_P1 3558 6505 290 98.6 globlastpWNU101_H48 plantago|11v2|SRR066373X108968_P1 3559 6512 290 98.6globlastp WNU101_H49 platanus|11v1|SRR096786X100429_P1 3560 6509 29098.6 globlastp WNU101_H50 platanus|11v1|SRR096786X132286_P1 3561 6509290 98.6 globlastp WNU101_H51 poplar|10v1|AI162529 3562 6505 290 98.6globlastp WNU101_H51 poplar|13v1|AI162529_P1 3563 6505 290 98.6globlastp WNU101_H52 silene|11v1|SRR096785X10232 3564 6515 290 98.6globlastp WNU101_H53 silene|11v1|SRR096785X137191 3565 6515 290 98.6globlastp WNU101_H54 soybean|11v1|GLYMA09G42010 3566 6505 290 98.6globlastp WNU101_H54 soybean|12v1|GLYMA09G42010_P1 3567 6505 290 98.6globlastp WNU101_H55 soybean|11v1|GLYMA19G28850 3568 6505 290 98.6globlastp WNU101_H55 soybean|12v1|GLYMA19G28850_P1 3569 6505 290 98.6globlastp WNU101_H56 spurge|gb161|BG409394 3570 6505 290 98.6 globlastpWNU101_H57 tabernaemontana|11v1|SRR098689X110144 3571 6509 290 98.6globlastp WNU101_H58 utricularia|11v1|SRR094438.112676 3572 6516 29098.6 globlastp WNU101_H302 monkeyflower|12v1|DV206684_P1 3573 6517 29097.9 globlastp WNU101_H303 monkeyflower|12v1|MGJGI003701_P1 3574 6518290 97.9 globlastp WNU101_H304 prunus_mume|13v1|CB821190_P1 3575 6519290 97.9 globlastp WNU101_H59 ambrosia|11v1|SRR346935.498332_P1 35766520 290 97.9 globlastp WNU101_H60 avocado|10v1|CO996154_P1 3577 6521290 97.9 globlastp WNU101_H61 blueberry|12v1|CV191461_P1 3578 6522 29097.9 globlastp WNU101_H62 blueberry|12v1|SRR353282X26281D1_P1 3579 6522290 97.9 globlastp WNU101_H63 cassava|09v1|CK641842_P1 3580 6521 29097.9 globlastp WNU101_H64 chestnut|gb170|SRR006295S0005679_P1 3581 6523290 97.9 globlastp WNU101_H65 chickpea|11v1|FE669803 3582 6521 290 97.9globlastp WNU101_H65 chickpea|13v2|FE669803_P1 3583 6521 290 97.9globlastp WNU101_H66 cichorium|gb171|EH696302_P1 3584 6524 290 97.9globlastp WNU101_H67 cleome_spinosa|10v1|SRR015531S0000807_P1 3585 6521290 97.9 globlastp WNU101_H68 cotton|11v1|BE055159_P1 3586 6521 290 97.9globlastp WNU101_H69 cotton|11v1|CO098243_P1 3587 6521 290 97.9globlastp WNU101_H70 dandelion|10v1|DR399422_P1 3588 6524 290 97.9globlastp WNU101_H71 eschscholzia|11v1|SRR014116.103261_P1 3589 6521 29097.9 globlastp WNU101_H72 euphorbia|11v1|SRR098678X147242_P1 3590 6525290 97.9 globlastp WNU101_H73 flaveria|11v1|SRR149229.1128_P1 3591 6524290 97.9 globlastp WNU101_H74 flaveria|11v1|SRR149232.114130_P1 35926524 290 97.9 globlastp WNU101_H75 flaveria|11v1|SRR149232.175301_P13593 6524 290 97.9 globlastp WNU101_H76flaveria|11v1|SRR149232.193194_P1 3594 6524 290 97.9 globlastpWNU101_H77 flaveria|11v1|SRR149238.143076_P1 3595 6524 290 97.9globlastp WNU101_H78 flaveria|11v1|SRR149244.127484_P1 3596 6524 29097.9 globlastp WNU101_H79 gerbera|09v1|AJ751817_P1 3597 6524 290 97.9globlastp WNU101_H80 gossypium_raimondii|12v1|BE055159_P1 3598 6521 29097.9 globlastp WNU101_H81 hevea|10v1|EC605962_P1 3599 6521 290 97.9globlastp WNU101_H82 jatropha|09v1|GT229106_P1 3600 6526 290 97.9globlastp WNU101_H83 lettuce|12v1|DW062812_P1 3601 6524 290 97.9globlastp WNU101_H84 liquorice|gb171|FS244248_P1 3602 6521 290 97.9globlastp WNU101_H85 liriodendron|gb166|CO995509_P1 3603 6521 290 97.9globlastp WNU101_H86 melon|10v1|DV631514_P1 3604 6521 290 97.9 globlastpWNU101_H87 momordica|10v1|SRR071315S0002724_P1 3605 6521 290 97.9globlastp WNU101_H88 monkeyflower|10v1|DV206684 3606 6517 290 97.9globlastp WNU101_H89 oak|10v1|FP025535_P1 3607 6523 290 97.9 globlastpWNU101_H90 oak|10v1|FP040425_P1 3608 6523 290 97.9 globlastp WNU101_H91papaya|gb165|EX260690_P1 3609 6527 290 97.9 globlastp WNU101_H92peanut|10v1|ES715587_P1 3610 6521 290 97.9 globlastp WNU101_H93petunia|gb171|DC240537_P1 3611 6528 290 97.9 globlastp WNU101_H94primula|11v1|SRR098679X118382_P1 3612 6529 290 97.9 globlastp WNU101_H95prunus|10v1|BF717180 3613 6519 290 97.9 globlastp WNU101_H96sarracenia|11v1|SRR192669.118427 3614 6530 290 97.9 globlastp WNU101_H97sunflower|12v1|CD847531 3615 6524 290 97.9 globlastp WNU101_H98sunflower|12v1|EE651498 3616 6524 290 97.9 globlastp WNU101_H99sunflower|12v1|EE657167XX1 3617 6524 290 97.9 globlastp WNU101_H100thellungiella_halophilum|11v1|BM985553 3618 6521 290 97.9 globlastpWNU101_H101 thellungiella_halophilum|11v1|DN778887 3619 6521 290 97.9globlastp WNU101_H102 tragopogon|10v1|SRR020205S0042330 3620 6524 29097.9 globlastp WNU101_H103 valeriana|11v1|SRR099039X102759 3621 6531 29097.9 globlastp WNU101_H104 watermelon|11v1|AM715146 3622 6521 290 97.9globlastp WNU101_H305 nicotiana_benthamiana|12v1|CN741539_P1 3623 6532290 97.2 globlastp WNU101_H306 olea|13v1|SRR014466X64437D1_P1 3624 6533290 97.2 globlastp WNU101_H105 aquilegia|10v2|JGIAC002127_P1 3625 6534290 97.2 globlastp WNU101_H106 arabidopsis_lyrata|09v1|JGIAL020514_P13626 6535 290 97.2 globlastp WNU101_H107 arabidopsis|10v1|AT5G08290_P13627 6536 290 97.2 globlastp WNU101_H108 banana|12v1|BBS821T3_P1 36286537 290 97.2 globlastp WNU101_H109 brachypodium|12v1|BRADI2G20230_P13629 6538 290 97.2 globlastp WNU101_H110 cassava|09v1|DV442374_P1 36306539 290 97.2 globlastp WNU101_H111 chelidonium|11v1|SRR084752X111705_P13631 6540 290 97.2 globlastp WNU101_H112 clementine|11v1|CB293969_P13632 6541 290 97.2 globlastp WNU101_H113cleome_gynandra|10v1|SRR015532S0011342_P1 3633 6542 290 97.2 globlastpWNU101_H114 cleome_spinosa|10v1|GR931475_P1 3634 6543 290 97.2 globlastpWNU101_H115 cucumber|09v1|DV631514_P1 3635 6544 290 97.2 globlastpWNU101_H116 flaveria|11v1|SRR149229.15567_P1 3636 6545 290 97.2globlastp WNU101_H117 flaveria|11v1|SRR149232.130294_P1 3637 6546 29097.2 globlastp WNU101_H118 gerbera|09v1|AJ751066_P1 3638 6547 290 97.2globlastp WNU101_H119 leymus|gb166|EG375649_P1 3639 6548 290 97.2globlastp WNU101_H120 lotus|09v1|LLBW596117_P1 3640 6549 290 97.2globlastp WNU101_H121 monkeyflower|10v1|GO986033 3641 6550 290 97.2glotblastn WNU101_H122 nicotiana_benthamiana|gb162|CN741539 3642 6532290 97.2 globlastp WNU101_H123 nuphar|gb166|CD474407_P1 3643 6551 29097.2 globlastp WNU101_H124 oat|11v1|GR356084_P1 3644 6538 290 97.2globlastp WNU101_H125 olea|11v1|SRR014463.12122 3645 6533 290 97.2globlastp WNU101_H125 olea|13v1|SRR014463X12122D1_P1 3646 6533 290 97.2globlastp WNU101_H126 olea|11v1|SRR014463.6941 3647 6533 290 97.2globlastp WNU101_H127 orange|11v1|CB293969_P1 3648 6541 290 97.2globlastp WNU101_H128 orobanche|10v1|SRR023189S0011862_P1 3649 6552 29097.2 globlastp WNU101_H129 petunia|gb171|DY395476_P1 3650 6532 290 97.2globlastp WNU101_H130 poppy|11v1|FE965510_P1 3651 6535 290 97.2globlastp WNU101_H131 poppy|11v1|FE968162_P1 3652 6535 290 97.2globlastp WNU101_H132 poppy|11v1|SRR030259.140845_P1 3653 6535 290 97.2globlastp WNU101_H133 poppy|11v1|SRR096789.129001_P1 3654 6535 290 97.2globlastp WNU101_H134 potato|10v1|BG598825_P1 3655 6532 290 97.2globlastp WNU101_H135 rose|12v1|BQ104850 3656 6553 290 97.2 globlastpWNU101_H136 rye|12v1|DRR001012.152837 3657 6548 290 97.2 globlastpWNU101_H137 scabiosa|11v1|SRR063723X100235 3658 6554 290 97.2 globlastpWNU101_H138 solanum_phureja|09v1|SPHBG133499 3659 6532 290 97.2globlastp WNU101_H139 strawberry|11v1|CO381722 3660 6553 290 97.2globlastp WNU101_H140 sunflower|12v1|BU672024 3661 6555 290 97.2globlastp WNU101_H141 sunflower|12v1|CF085521 3662 6556 290 97.2globlastp WNU101_H142 switchgrass|gb167|FE640147 3663 6557 290 97.2globlastp WNU101_H143 tea|10v1|DY523280 3664 6558 290 97.2 globlastpWNU101_H144 tobacco|gb162|CV020574 3665 6532 290 97.2 globlastpWNU101_H145 tobacco|gb162|DW004387 3666 6559 290 97.2 globlastpWNU101_H146 tomato|11v1|BG133499 3667 6532 290 97.2 globlastpWNU101_H147 watermelon|11v1|VMEL06624730052175 3668 6544 290 97.2globlastp WNU101_H148 wheat|12v3|BE516783 3669 6548 290 97.2 globlastpWNU101_H149 amorphophallus|11v2|SRR089351X183516_T1 3670 6560 290 97.18glotblastn WNU101_H150 flaveria|11v1|SRR149229.223003_T1 3671 6561 29097.18 glotblastn WNU101_H151 flaveria|11v1|SRR149229.348878XX1_T1 36726562 290 97.18 glotblastn WNU101_H152 abies|11v2|SRR098676X118115_P13673 6563 290 96.5 globlastp WNU101_H153ambrosia|11v1|SRR346943.100935_P1 3674 6564 290 96.5 globlastpWNU101_H154 antirrhinum|gb166|AJ806089_P1 3675 6565 290 96.5 globlastpWNU101_H155 b_Juncea|12v1|E6ANDIZ01B6RJK_P1 3676 6566 290 96.5 globlastpWNU101_H156 b_Juncea|12v1|E6ANDIZ01BM0LN_P1 3677 6566 290 96.5 globlastpWNU101_H157 b_oleracea|gb161|DY023458_P1 3678 6566 290 96.5 globlastpWNU101_H158 b_rapa|11v1|CD830767_P1 3679 6566 290 96.5 globlastpWNU101_H159 barley|12v1|BE422314_P1 3680 6567 290 96.5 globlastpWNU101_H160 beech|11v1|SRR006293.28635_P1 3681 6568 290 96.5 globlastpWNU101_H161 bupleurum|11v1|SRR301254.104295_P1 3682 6569 290 96.5globlastp WNU101_H162 canola|11v1|CN730207_P1 3683 6566 290 96.5globlastp WNU101_H163 centaurea|11v1|EH752544_P1 3684 6570 290 96.5globlastp WNU101_H164 cirsium|11v1|SRR346952.1007521_P1 3685 6570 29096.5 globlastp WNU101_H165 cirsium|11v1|SRR346952.103291_P1 3686 6570290 96.5 globlastp WNU101_H166 cirsium|11v1|SRR349641.102618_P1 36876570 290 96.5 globlastp WNU101_H167 coffea|10v1|DV664615_P1 3688 6571290 96.5 globlastp WNU101_H168 cucurbita|11v1|SRR091276X10160_P1 36896572 290 96.5 globlastp WNU101_H169 distylium|11v1|SRR065077X11672_P13690 6573 290 96.5 globlastp WNU101_H170 fescue|gb161|DT678464_P1 36916567 290 96.5 globlastp WNU101_H171 flax|11v1|EU830158_P1 3692 6574 29096.5 globlastp WNU101_H172 flax|11v1|GW864378_P1 3693 6574 290 96.5globlastp WNU101_H173 fraxinus|11v1|SRR058827.118876_P1 3694 6575 29096.5 globlastp WNU101_H174 ginger|gb164|DY345152_P1 3695 6563 290 96.5globlastp WNU101_H175 gossypium_raimondii|12v1|SRR032877.152174_P1 36966576 290 96.5 globlastp WNU101_H176 lotus|09v1|BI417743_P1 3697 6577 29096.5 globlastp WNU101_H177 medicago|12v1|AJ388790_P1 3698 6563 290 96.5globlastp WNU101_H178 oat|11v1|CN819608_P1 3699 6567 290 96.5 globlastpWNU101_H179 oat|11v1|GO592755_P1 3700 6567 290 96.5 globlastpWNU101_H180 onion|12v1|SRR073446X1027D1_P1 3701 6578 290 96.5 globlastpWNU101_H181 onion|12v1|SRR073446X107895D1_P1 3702 6578 290 96.5globlastp WNU101_H182 phalaenopsis|11v1|CB033892_P1 3703 6579 290 96.5globlastp WNU101_H183 phylap|11v2|SRR099037X110675_P1 3704 6580 290 96.5globlastp WNU101_H184 pine|10v2|AW226051_P1 3705 6563 290 96.5 globlastpWNU101_H185 pine|10v2|BM157567_P1 3706 6563 290 96.5 globlastpWNU101_H186 pseudoroegneria|gb167|FF344285 3707 6567 290 96.5 globlastpWNU101_H187 pseudoroegneria|gb167|FF360594 3708 6581 290 96.5 globlastpWNU101_H188 pseudotsuga|10v1|SRR065119S0012174 3709 6563 290 96.5globlastp WNU101_H189 radish|gb164|EV526928 3710 6566 290 96.5 globlastpWNU101_H190 radish|gb164|EV536846 3711 6566 290 96.5 globlastpWNU101_H191 radish|gb164|EV546061 3712 6566 290 96.5 globlastpWNU101_H192 radish|gb164|EV552595 3713 6566 290 96.5 globlastpWNU101_H193 radish|gb164|EW715626 3714 6566 290 96.5 globlastpWNU101_H194 radish|gb164|EW718137 3715 6566 290 96.5 globlastpWNU101_H195 radish|gb164|EX754496 3716 6566 290 96.5 globlastpWNU101_H196 radish|gb164|FD967082 3717 6566 290 96.5 globlastpWNU101_H197 rye|12v1|DRR001012.107996 3718 6567 290 96.5 globlastpWNU101_H198 rye|12v1|DRR001012.271505 3719 6567 290 96.5 globlastpWNU101_H199 rye|12v1|DRR001012.273776 3720 6567 290 96.5 globlastpWNU101_H200 rye|12v1|DRR001012.316946 3721 6567 290 96.5 globlastpWNU101_H201 salvia|10v1|CV170127 3722 6580 290 96.5 globlastpWNU101_H202 sciadopitys|10v1|SRR065035S0010777 3723 6573 290 96.5globlastp WNU101_H203 solanum_phureja|09v1|SPHBG129871 3724 6582 29096.5 globlastp WNU101_H204 spruce|11v1|ES248362 3725 6563 290 96.5globlastp WNU101_H205 strawberry|11v1|CX661524 3726 6583 290 96.5globlastp WNU101_H206 thalictrum|11v1|SRR096787X139137 3727 6584 29096.5 globlastp WNU101_H207 thellungiella_parvulum|11v1|BM985553 37286585 290 96.5 globlastp WNU101_H208 tomato|11v1|BG129871 3729 6586 29096.5 globlastp WNU101_H209 trigonella|11v1|SRR066194X128110 3730 6563290 96.5 globlastp WNU101_H210 tripterygium|11v1|SRR098677X100265 37316563 290 96.5 globlastp WNU101_H211 vinca|11v1|SRR098690X110755 37326587 290 96.5 globlastp WNU101_H212 wheat|12v3|BE399722 3733 6567 29096.5 globlastp WNU101_H213 zostera|10v1|AM771035 3734 6588 290 96.5globlastp WNU101_H214 bupleurum|11v1|SRR301254.104964_T1 3735 6589 29096.48 glotblastn WNU101_H215 cedrus|11v1|SRR065007X138898_T1 3736 6590290 96.48 glotblastn WNU101_H216 cotton|11v1|SRR032799.218046_T1 37376591 290 96.48 glotblastn WNU101_H217 fraxinus|11v1|SRR058827.139368_T13738 6592 290 96.48 glotblastn WNU101_H218poppy|11v1|SRR030259.109854_T1 3739 6593 290 96.48 glotblastnWNU101_H219 b Juncea|12v1|E6ANDIZ01A7FXP_P1 3740 6594 290 95.8 globlastpWNU101_H220 cenchrus|gb166|EB654842_P1 3741 6595 290 95.8 globlastpWNU101_H221 cephalotaxus|11v1|SRR064395X104976_P1 3742 6596 290 95.8globlastp WNU101_H222 cryptomeria|gb166|BP173808_P1 3743 6597 290 95.8globlastp WNU101_H223 euonymus|11v1|SRR070038X107379_P1 3744 6598 29095.8 globlastp WNU101_H224 euonymus|11v1|SRR070038X122208_P1 3745 6598290 95.8 globlastp WNU101_H225 euonymus|11v1|SRR070038X167324_P1 37466598 290 95.8 globlastp WNU101_H226 euonymus|11v1|SRR070038X303898_P13747 6598 290 95.8 globlastp WNU101_H227 guizotia|10v1|GE561377_P1 37486599 290 95.8 globlastp WNU101_H228 medicago|12v1|AL379466_P1 3749 6600290 95.8 globlastp WNU101_H229 pepper|12v1|GD060357_P1 3750 6601 29095.8 globlastp WNU101_H230 sequoia|10v1|SRR065044S0003965 3751 6597 29095.8 globlastp WNU101_H231 trigonella|11v1|SRR066194X132286 3752 6600290 95.8 globlastp WNU101_H232 triphysaria|10v1|DR174156 3753 6602 29095.8 globlastp WNU101_H233 triphysaria|10v1|DR174471 3754 6602 290 95.8globlastp WNU101_H234 ambrosia|11v1|SRR346935.266437_T1 3755 6603 29095.77 glotblastn WNU101_H235 fraxinus|11v1|SRR058827.101637_T1 3756 6604290 95.77 glotblastn WNU101_H307 bean|12v2|CA911930_T1 3757 6605 29095.1 glotblastn WNU101_H236 b_oleracea|gb161|DY019123_P1 3758 6606 29095.1 globlastp WNU101_H238 guizotia|10v1|GE555178_P1 3759 6607 290 95.1globlastp WNU101_H239 nasturtium|11v1|GH170206_P1 3760 6608 290 95.1globlastp WNU101_H240 nasturtium|11v1|SRR032558.142872_P1 3761 6608 29095.1 globlastp WNU101_H241 pigeonpea|11v1|SRR054580X166585_P1 3762 6609290 95.1 globlastp WNU101_H242 podocarpus|10v1|SRR065014S0029356_P1 37636610 290 95.1 globlastp WNU101_H243 taxus|10v1|SRR032523S0009023 37646611 290 95.1 globlastp WNU101_H244 vinca|11v1|SRR098690X103143 37656612 290 95.1 globlastp WNU101_H245 gnetum|10v1|SRR064399S0043656_T13766 6613 290 95.07 glotblastn WNU101_H246onion|12v1|SRR073446X168589D1_T1 3767 6614 290 95.07 glotblastnWNU101_H247 aquilegia|10v2|JGIAC002827_P1 3768 6615 290 94.4 globlastpWNU101_H248 arnica|11v1|SRR099034X106017_P1 3769 6616 290 94.4 globlastpWNU101_H249 ceratodon|10v1|SRR074890S0096822_P1 3770 6617 290 94.4globlastp WNU101_H250 cotton|11v1|SRR032368.104563_P1 3771 6618 290 94.4globlastp WNU101_H251 physcomitrella|10v1|BJ157579_P1 3772 6617 290 94.4globlastp WNU101_H252 pteridium|11v1|SRR043594X101280 3773 6619 290 94.4globlastp WNU101_H253 pteridium|11v1|SRR043594X144633 3774 6620 290 94.4globlastp WNU101_H254 artemisia|10v1|EY036412_T1 3775 6621 290 94.37glotblastn WNU101_H308 zostera|12v1|SRR057351X120093D1_P1 3776 6622 29093.7 globlastp WNU101_H255 marchantia|gb166|BJ841020_P1 3777 6623 29093.7 globlastp WNU101_H256 medicago|12v1|XM_003607213_P1 3778 6624 29093.7 globlastp WNU101_H257 brachypodium|12v1|BRADI5G26987_P1 3779 6625290 92.3 globlastp WNU101_H258 epimedium|11v1|SRR013502.28172_P1 37806626 290 92.3 globlastp WNU101_H309 zostera|12v1|SRR057351X155005D1_P13781 6627 290 91.5 globlastp WNU101_H259brachypodium|12v1|BRADI2G61080_P1 3782 6628 290 91.5 globlastpWNU101_H260 senecio|gb170|DY661572 3783 6629 290 91.1 globlastpWNU101_H261 maritime_pine|10v1|AL751085_P1 3784 6630 290 91 globlastpWNU101_H262 brachypodium|12v1|BRADI5G26970_P1 3785 6631 290 90.8globlastp WNU101_H263 b_rapa|11v1|CD817247_T1 3786 6632 290 90.14glotblastn WNU101_H264 brachypodium|12v1|BRADI2G62110_P1 3787 6633 29090.1 globlastp WNU101_H265 safflower|gb162|EL390885 3788 6634 290 89.7globlastp WNU101_H266 peanut|10v1|GO334384_T1 3789 6635 290 88.82glotblastn WNU101_H310 volvox|12v1|FD808894_P1 3790 6636 290 88globlastp WNU101_H267 cirsium|11v1|SRR346952.614503_P1 3791 6637 290 88globlastp WNU101_H268 mesostigma|gb166|DN254740_P1 3792 6638 290 88globlastp WNU101_H269 volvox|gb162|CBGZ13922FWD 3793 6636 290 88globlastp WNU101_H270 cirsium|11v1|SRR349641.1172450_P1 3794 6639 29087.8 globlastp WNU101_H271 medicago|12v1|MTPRD023853_T1 3795 6640 29087.42 glotblastn WNU101_H311 soybean|12v1|GLYMA11G10560_P1 3796 6641 29087.3 globlastp WNU101_H272 spikemoss|gb165|FE439447 3797 6642 290 87.3globlastp WNU101_H273 pepper|12v1|SRR203275X23113D1_P1 3798 6643 29086.7 globlastp WNU101_H274 cannabis|12v1|SOLX00030512_T1 3799 6644 29086.62 glotblastn WNU101_H275 clover|gb162|BB917276_P1 3800 6645 290 86.6globlastp WNU101_H276 oat|11v1|CN820466_P1 3801 6646 290 85.9 globlastpWNU101_H277 aquilegia|10v2|JGIAC008410_P1 3802 6647 290 85.2 globlastpWNU101_H278 chlamydomonas|gb162|AV623913_P1 3803 6648 290 85.2 globlastpWNU101_H279 maritime_pine|10v1|SRR073317S0022071_P1 3804 6649 290 84globlastp WNU101_H280 poppy|11v1|SRR096789.155178_P1 3805 6650 290 83.8globlastp WNU101_H281 spruce|11v1|SRR066110X1234 3806 6651 290 83.8globlastp WNU101_H282 silene|11v1|SRR096785X28894 3807 6652 290 83.1globlastp WNU101_H283 ostreococcus|gb162|XM001420623_P1 3808 6653 29082.4 globlastp WNU101_H284 scabiosa|11v1|SRR063723X106819 3809 6654 29082.4 globlastp WNU101_H285 spruce|11v1|SRR066110X156724 3810 6655 29082.4 globlastp WNU101_H286 fern|gb171|DK949164_T1 3811 6656 290 82.39glotblastn WNU101_H287 rhizophora|10v1|SRR005793S0032422 3812 6657 29082.3 globlastp WNU101_H288 cucumber|09v1|AM715146_P1 3813 6658 290 82.2globlastp WNU101_H289 cassava|09v1|DB928964_T1 3814 6659 290 81.55glotblastn WNU101_H290 tamarix|gb166|EH053611 3815 6660 290 81 globlastpWNU101_H291 ginseng|10v1|GR874635_P1 3816 6661 290 80.3 globlastpWNU101_H292 conyza|10v1|SRR035294S0005061_T1 3817 6662 290 80.28glotblastn WNU102_H1 pseudoroegneria|gb167|FF359580 3818 6663 291 95.8globlastp WNU102_H2 rye|12v1|BE705366 3819 6664 291 94.1 globlastpWNU102_H3 rye|12v1|DRR001012.104065 3820 6665 291 93.3 globlastpWNU102_H4 rye|12v1|DRR001012.20624 3821 6666 291 93.3 globlastpWNU102_H5 rye|12v1|DRR001012.544828 3822 6665 291 93.3 globlastpWNU103_H1 wheat|12v3|BQ236960 3823 6667 292 96.6 glotblastn WNU103_H2rye|12v1|DRR001012.118432 3824 6668 292 95.99 glotblastn WNU103_H3barley|12v1|AV932859_T1 3825 6669 292 95.83 glotblastn WNU103_H4wheat|12v3|BJ270163 3826 6670 292 95.52 glotblastn WNU103_H5wheat|12v3|BQ161926 3827 6671 292 95.52 glotblastn WNU103_H6wheat|12v3|BM137647 3828 6672 292 92.1 globlastp WNU103_H7brachypodium|12v1|BRADI1G16770_T1 3829 6673 292 89.37 glotblastnWNU103_H8 oat|11v1|GO591581_P1 3830 6674 292 87.4 globlastp WNU103_H9wheat|12v3|BE497973 3831 6675 292 86.6 globlastp WNU103_H10foxtail_millet|11v3|PHY7SI028842M_T1 3832 6676 292 85.36 glotblastnWNU103_H12 millet|10v1|EVO454PM008851_T1 3833 6677 292 84.9 glotblastnWNU103_H13 sorghum|12v1|SB02G002970 3834 6678 292 84.28 glotblastnWNU103_H14 maize|10v1|AI891217_T1 3835 6679 292 83.51 glotblastnWNU104_H1 sorghum|12v1|SB02G039640 3836 6680 293 97.6 globlastpWNU104_H2 sugarcane|10v1|CA091213 3837 6681 293 96.5 globlastp WNU104_H3switchgrass|gb167|DN141143 3838 6682 293 95 globlastp WNU104_H4foxtail_millet|11v3|PHY7SI030417M_P1 3839 6683 293 94.7 globlastpWNU104_H5 millet|10v1|EVO454PM007449_P1 3840 6684 293 94.1 globlastpWNU104_H6 switchgrass|gb167|FE635872 3841 6685 293 93.8 globlastpWNU104_H30 switchgrass|12v1|DN141143_P1 3842 6686 293 93.5 globlastpWNU104_H8 brachypodium|12v1|BRADI1G21310_P1 3843 6687 293 90.3 globlastpWNU104_H11 wheat|12v3|AL829503 3844 6688 293 89.7 globlastp WNU104_H12wheat|12v3|BE499735 3845 6689 293 89.7 globlastp WNU104_H13oat|11v1|GR315509_T1 3846 6690 293 88.86 glotblastn WNU104_H14sugarcane|10v1|CA110280 3847 6691 293 87.4 globlastp WNU104_H17millet|10v1|EVO454PM003756_P1 3848 6692 293 86 globlastp WNU104_H18foxtail_millet|11v3|PHY7SI036041M_P1 3849 6693 293 85.8 globlastpWNU104_H31 switchgrass|12v1|FL792794_P1 3850 6694 293 85.7 globlastpWNU104_H19 switchgrass|gb167|FL763438 3851 6695 293 85.4 globlastpWNU104_H20 brachypodium|12v1|BRADI1G60720_P1 3852 6696 293 85.1globlastp WNU104_H21 wheat|12v3|M94726 3853 6697 293 85.1 globlastpWNU104_H22 oat|11v1|GO591794_P1 3854 6698 293 84.5 globlastp WNU104_H23rye|12v1|DRR001012.130878 3855 6699 293 84.5 globlastp WNU104_H24oil_palm|11v1|EL930266_P1 3856 6700 293 83 globlastp WNU104_H25amorphophallus|11v2|SRR089351X142963_P1 3857 6701 293 82.5 globlastpWNU104_H26 grape|11v1|GSVIVT01009074001_P1 3858 6702 293 80.7 globlastpWNU104_H27 poplar|10v1|DT524995 3859 6703 293 80.6 globlastp WNU104_H27poplar|13v1|DT524995_P1 3860 6703 293 80.6 globlastp WNU104_H28orange|11v1|CX076591_P1 3861 6704 293 80.1 globlastp WNU104_H29strawberry|11v1|DV440652 3862 6705 293 80 globlastp WNU105_H1foxtail_millet|11v3|PHY7SI030718M_P1 3863 6706 294 81.9 globlastpWNU105_H2 switchgrass|12v1|FL765830_P1 3864 6707 294 81.8 globlastpWNU105_H3 switchgrass|12v1|SRR187766.292736_T1 3865 6708 294 80.82glotblastn WNU1_H1 switchgrass|gb167|FL978666 3866 6709 297 92.67glotblastn WNU1_H2 sugarcane|10v1|CA074048 3867 6710 297 89.66glotblastn WNU1_H3 maize|10v1|CF029169_T1 3868 6711 297 88.79 glotblastnWNU1_H4 rice|11v1|BI809550 3869 6712 297 85.34 glotblastn WNU1_H9switchgrass|12v1|FE613340_P1 3870 6713 297 82.9 globlastp WNU1_H8pseudoroegneria|gb167|FF342031 3871 6714 297 80.17 glotblastn WNU10_H1rye|12v1|DRR001012.118659 3872 6715 298 94.7 globlastp WNU10_H4wheat|12v3|CA595300 3873 6716 298 88.3 globlastp WNU10_H9maize|10v1|AI666068_T1 3874 6717 298 83.69 glotblastn WNU10_H10maize|10v1|CF057796_T1 3875 6718 298 83.1 glotblastn WNU10_H12rye|12v1|DRR001012.335122 3876 6719 298 81.93 glotblastn WNU10_H13barley|12v1|AJ464019_T1 3877 6720 298 80.94 glotblastn WNU12_H10switchgrass|gb167|FL691189 3878 6721 299 89.15 glotblastn WNU12_H11maize|10v1|AW056009_T1 3879 6722 299 88.89 glotblastn WNU12_H12oil_palm|11v1|EL687121_T1 3880 6723 299 81.65 glotblastn WNU12_H13oil_palm|11v1|ES273973_T1 3881 6724 299 80.41 glotblastn WNU12_H14banana|12v1|MAGEN2012018857_T1 3882 6725 299 80.1 glotblastn WNU12_H15phalaenopsis|11v1|SRR125771.10131_T1 3883 6726 299 80.1 glotblastnWNU36_H6 rye|12v1|BE495705 3884 6727 301 89.5 globlastp WNU36_H7oat|11v1|CN816059_T1 3885 6728 301 81.71 glotblastn WNU41_H1pseudoroegneria|gb167|FF353522 3886 6729 302 86.3 globlastp WNU90_H1maize|10v1|AI621741_P1 3887 6730 304 86 globlastp WNU90_H3switchgrass|12v1|FL814028_P1 3888 6731 304 84.3 globlastp WNU90_H2foxtail_millet|11v3|PHY7SI000622M_P1 3889 6732 304 83.1 globlastpWNU12_H3 wheat|12v3|CA639029 3890 6733 305 96 globlastp WNU12_H2wheat|12v3|BE412252 3891 6734 305 94.3 globlastp WNU12_H1rye|12v1|DRR001012.123825 3892 6735 305 93.6 globlastp WNU12_H4oat|11v1|GR341130_P1 3893 6736 305 92.1 globlastp WNU12_H6rice|11v1|AU033135 3894 6737 305 87.3 globlastp WNU12_H5sorghum|12v1|SB06G014710 3895 6738 305 86.3 globlastp WNU12_H16switchgrass|12v1|FL696652_P1 3896 6739 305 86 globlastp WNU12_H9millet|10v1|EVO454PM052099_P1 3897 6740 305 85.9 globlastp WNU12_H8foxtail_millet|11v3|PHY7SI009537M_P1 3898 6741 305 85.2 globlastpWNU12_H7 sugarcane|10v1|CA067037 3899 6742 305 85 globlastp WNU12_H17switchgrass|12v1|FL691189_P1 3900 6743 305 84.9 globlastp WNU14_H5wheat|12v3|BE406669 3901 6744 306 87.4 globlastp WNU14_H6brachypodium|12v1|BRADI5G22780_P1 3902 6745 306 85.4 globlastp WNU14_H7wheat|12v3|BI750679 3903 6746 306 83.5 globlastp WNU14_H8rice|11v1|AU097232 3904 6747 306 81.3 globlastp WNU21_H1wheat|12v3|BG313700 3905 6748 307 97.8 globlastp WNU21_H2pseudoroegneria|gb167|FF343018 3906 6749 307 97.3 globlastp WNU21_H3rye|12v1|DRR001012.138574 3907 6750 307 97.3 globlastp WNU21_H4rye|12v1|DRR001012.10155 3908 6751 307 96.7 globlastp WNU21_H5rye|12v1|DRR001012.10485 3909 6751 307 96.7 globlastp WNU21_H6rye|12v1|DRR001013.189535 3910 6752 307 96.7 globlastp WNU21_H7rye|12v1|DRR001017.1025316 3911 6751 307 96.7 globlastp WNU21_H8wheat|12v3|CA737303 3912 6753 307 96.7 globlastp WNU21_H11rye|12v1|DRR001012.148105 3913 6754 307 96.2 globlastp WNU21_H9rye|12v1|DRR001012.182796 3914 6755 307 96.17 glotblastn WNU21_H10rye|12v1|DRR001012.20658 3915 6756 307 96.17 glotblastn WNU21_H12wheat|12v3|BQ166247 3916 6757 307 95.6 globlastp WNU21_H13wheat|12v3|BF200640 3917 6758 307 94 globlastp WNU21_H14leymus|gb166|CD809143_P1 3918 6759 307 91.8 globlastp WNU21_H15fescue|gb161|DT681490_P1 3919 6760 307 88.5 globlastp WNU21_H16brachypodium|12v1|BRADI3G26930_P1 3920 6761 307 86.9 globlastp WNU27_H1wheat|12v3|BE488391 3921 6762 308 95.9 globlastp WNU27_H2rye|12v1|BF145226 3922 6763 308 95.6 globlastp WNU27_H3wheat|12v3|BE412113 3923 6764 308 95.6 globlastp WNU27_H4rye|12v1|DRR001012.270703 3924 6765 308 88.76 glotblastn WNU27_H5brachypodium|12v1|BRADI3G56757_P1 3925 6766 308 88.4 globlastp WNU27_H6sorghum|12v1|SB04G038010 3926 6767 308 84.5 globlastp WNU27_H7foxtail_millet|11v3|PHY7SI019250M_P1 3927 6768 308 82.4 globlastpWNU27_H11 switchgrass|12v1|FE641715_P1 3928 6769 308 82.1 globlastpWNU27_H8 switchgrass|gb167|FE641715 3929 6769 308 82.1 globlastpWNU27_H9 maize|10v1|AI920575_T1 3930 6770 308 81.4 glotblastn WNU28_H1rye|12v1|DRR001012.114780 3931 6771 309 88.9 globlastp WNU28_H2rye|12v1|DRR001012.48939 3932 6772 309 88.1 globlastp WNU28_H3rye|12v1|DRR001018.89399 3933 6773 309 87.4 globlastp WNU28_H4rye|12v1|DRR001017.104402 3934 6774 309 87.3 globlastp WNU28_H5rye|12v1|DRR001012.141928 3935 6775 309 86.7 globlastp WNU28_H6,wheat|12v3|CJ963327_P1 3936 6776 309 85.8 globlastp WNU28_H7 WNU28_H6,wheat|12v3|CJ963327 3937 — 309 85.8 globlastp WNU28_H7 WNU28_H8wheat|12v3|CA693523 3938 6777 309 85.1 globlastp WNU28_H9rye|12v1|DRR001018.49987 3939 6778 309 84.3 globlastp WNU28_H12wheat|12v3|CD872329 3940 6779 309 83 globlastp WNU28_H15wheat|12v3|BE404460 3941 6780 309 82.2 globlastp WNU28_H16barley|12v1|AV930429_P1 3942 6781 309 82.1 globlastp WNU28_H17barley|12v1|BF253983_P1 3943 6781 309 82.1 globlastp WNU28_H13barley|12v1|BI951355_P1 3944 6782 309 80.1 globlastp WNU28_H21rye|12v1|DRR001012.224627_P1 3945 6783 309 80 globlastp WNU28_H22rye|12v1|DRR001012.62536_P1 3946 6784 309 80 globlastp WNU28_H23rye|12v1|DRR001012.656377_P1 3947 6785 309 80 globlastp WNU37_H6brachypodium|12v1|BRADI4G04420_P1 3948 6786 311 96.3 globlastp WNU37_H16oil_palm|11v1|CN599820_P1 3949 6787 311 83.5 globlastp WNU37_H17oil_palm|11v1|SRR190698.114726_P1 3950 6787 311 83.5 globlastp WNU37_H18banana|12v1|MAGEN2012018569_P1 3951 6788 311 82.5 globlastp WNU37_H20cacao|10v1|CGD0019884_P1 3952 6789 311 81 globlastp WNU37_H24cassava|09v1|AI253959_P1 3953 6790 311 80.2 globlastp WNU37_H27prunus_mume|13v1|CV047022_T1 3954 6791 311 80.06 glotblastn WNU61_H1sorghum|12v1|SB10G006070 3955 6792 315 89.2 globlastp WNU61_H2maize|10v1|BM737452_P1 3956 6793 315 87.1 globlastp WNU61_H3rice|11v1|CI069708_P1 3957 6794 315 82.7 globlastp WNU61_H4rye|12v1|BE495393_T1 3958 6795 315 81.89 glotblastn WNU61_H5brachypodium|12v1|BRADI1G46900_P1 3959 6796 315 81.6 globlastp WNU61_H6wheat|12v3|AL822556_P1 3960 6797 315 80.3 globlastp WNU63_H1cenchrus|gb166|EB658691_P1 3961 6798 316 97.5 globlastp WNU63_H2foxtail_millet|11v3|PHY7SI012165M_T1 3962 6799 316 95.05 glotblastnWNU63_H16 switchgrass|12v1|DN146418_P1 3963 6800 316 94.7 globlastpWNU63_H3 switchgrass|gb167|DN146418 3964 6801 316 94.7 globlastpWNU63_H4 millet|10v1|EVO454PM118273_P1 3965 6802 316 93.6 globlastpWNU63_H5 maize|10v1|AI622273_P1 3966 6803 316 92.9 globlastp WNU63_H6sorghum|12v1|SB04G009630 3967 6804 316 92.9 globlastp WNU63_H7sorghum|12v1|SB01G016190 3968 6805 316 91.5 globlastp WNU63_H8maize|10v1|AI948046_P1 3969 6806 316 88.7 globlastp WNU63_H9rice|11v1|BM420094 3970 6807 316 86.3 globlastp WNU63_H10brachypodium|12v1|BRADI2G33020T2_P1 3971 6808 316 85.5 globlastpWNU63_H11 rye|12v1|DRR001012.157809 3972 6809 316 84.5 globlastpWNU63_H12 barley|12v1|BE215196_T1 3973 6810 316 84.1 glotblastnWNU63_H13 rye|12v1|DRR001015.124656 3974 6811 316 84.1 glotblastnWNU63_H14 wheat|12v3|CA661311 3975 6812 316 84.1 globlastp WNU63_H15pseudoroegneria|gb167|FF340909 3976 6813 316 80.92 glotblastn WNU78_H1millet|10v1|EVO454PM004199_P1 3977 6814 319 92.5 globlastp WNU78_H17switchgrass|12v1|DN146651_P1 3978 6815 319 89.7 globlastp WNU78_H18switchgrass|12v1|FE643273_P1 3979 6816 319 89.7 globlastp WNU78_H2switchgrass|gb167|DN146651 3980 6815 319 89.7 globlastp WNU78_H3switchgrass|gb167|FE643273 3981 6816 319 89.7 globlastp WNU78_H4foxtail_millet|11v3|PHY7SI007162M_P1 3982 6817 319 88.9 globlastpWNU78_H5 sorghum|12v1|SB10G000890 3983 6818 319 88.9 globlastp WNU78_H19switchgrass|12v1|FL849979_P1 3984 6819 319 87.3 globlastp WNU78_H6rice|11v1|AU093254 3985 6820 319 85.7 globlastp WNU78_H7switchgrass|gb167|FL779241 3986 6821 319 84.76 glotblastn WNU78_H8brachypodium|12v1|BRADI3G13680_P1 3987 6822 319 84.1 globlastp WNU78_H9fescue|gb161|DT700845_P1 3988 6823 319 83.7 globlastp WNU78_H10barley|12v1|BI955393_T1 3989 6824 319 83.33 glotblastn WNU78_H11wheat|12v3|BJ208990 3990 6825 319 82.9 globlastp WNU78_H12wheat|12v3|BE444900 3991 6826 319 82.5 globlastp WNU78_H13brachypodium|12v1|BRADI1G51860_P1 3992 6827 319 82.1 globlastp WNU78_H14rye|12v1|DRR001012.33764 3993 6828 319 82.1 globlastp WNU78_H15wheat|12v3|CA632170 3994 6829 319 82.1 globlastp WNU78_H16oat|11v1|CN819016_P1 3995 6830 319 81.3 globlastp WNU80_H1foxtail_millet|11v3|PHY7SI002358M_P1 3996 6831 320 96.7 globlastpWNU80_H2 millet|10v1|CD724968_P1 3997 6832 320 96.7 globlastp WNU80_H3sorghum|12v1|SB03G040810 3998 6833 320 96.7 globlastp WNU80_H17switchgrass|12v1|FE599977_P1 3999 6834 320 96.4 globlastp WNU80_H4switchgrass|gb167|FE599977 4000 6835 320 95.4 globlastp WNU80_H5sugarcane|10v1|CA079518 4001 6836 320 93.5 globlastp WNU80_H6rice|11v1|AU070592 4002 — 320 90.91 glotblastn WNU80_H7brachypodium|12v1|BRADI2G55950_P1 4003 6837 320 90.6 globlastp WNU80_H8pseudoroegneria|gb167|FF349822 4004 6838 320 90.3 globlastp WNU80_H9wheat|12v3|BE405865 4005 6839 320 90.3 globlastp WNU80_H10rye|12v1|DRR001012.116997 4006 6840 320 89.9 globlastp WNU80_H11rye|12v1|DRR001012.163420 4007 6840 320 89.9 globlastp WNU80_H12rye|12v1|BE587858 4008 6841 320 89.6 globlastp WNU80_H13rye|12v1|DRR001015.911252 4009 6842 320 89.6 globlastp WNU80_H14wheat|12v3|BE405262 4010 6843 320 89.6 globlastp WNU80_H15cenchrus|gb166|BM084416_T1 4011 6844 320 88.6 glotblastn WNU80_H16rye|12v1|DRR001012.173208 4012 6845 320 87.99 glotblastn WNU81_H1foxtail_millet|11v3|PHY7SI013223M_P1 4013 6846 321 93 globlastp WNU81_H2brachypodium|12v1|BRADI3G22387_P1 4014 6847 321 89.7 globlastp WNU81_H3rice|11v1|BM419293 4015 6848 321 89.1 globlastp WNU81_H4foxtail_millet|11v3|PHY7SI028859M_P1 4016 6849 321 85.4 globlastpWNU81_H5 rice|11v1|CA754384 4017 6850 321 84.8 globlastp WNU81_H6sorghum|12v1|SB02G019450 4018 6851 321 84.7 globlastp WNU81_H7rye|12v1|DRR001012.105803 4019 6852 321 83.7 globlastp WNU81_H8maize|10v1|MZEAKHDA_P1 4020 6853 321 83.2 globlastp WNU81_H10brachypodium|12v1|BRADI4G27450_P1 4021 6854 321 82.7 globlastp WNU81_H9switchgrass|gb167|FE600070 4022 6855 321 82.65 glotblastn WNU81_H11wheat|12v3|BE412231 4023 6856 321 82.4 globlastp WNU81_H12wheat|12v3|BM136038 4024 6857 321 81.82 glotblastn WNU82_H1sugarcane|10v1|CA151757 4025 6858 322 90.9 globlastp WNU82_H2sorghum|12v1|SB03G042740 4026 6859 322 89 globlastp WNU82_H4foxtail_millet|11v3|PHY7SI003185M_P1 4027 6860 322 81.3 globlastpWNU82_H5 switchgrass|gb167|DN144831 4028 6861 322 80.6 globlastpWNU83_H11 switchgrass|12v1|FL769499_P1 4029 6862 323 95.5 globlastpWNU83_H12 switchgrass|12v1|FL734741_P1 4030 6863 323 95 globlastpWNU83_H2 foxtail_millet|11v3|PHY7SI022165M_T1 4031 6864 323 94.09glotblastn WNU83_H1 sorghum|12v1|SB09G003210 4032 6865 323 93.6globlastp WNU83_H3 brachypodium|12v1|BRADI2G36660_P1 4033 6866 323 89.7globlastp WNU83_H5 wheat|12v3|BE499001 4034 6867 323 89.1 globlastpWNU83_H4 rice|11v1|AU091309 4035 6868 323 89.09 glotblastn WNU83_H6rice|11v1|GFXAC105262X7 4036 6869 323 87.5 globlastp WNU83_H7cenchrus|gb166|EB657522_P1 4037 6870 323 87.3 globlastp WNU83_H8rye|12v1|DRR001012.509710 4038 6871 323 86 globlastp WNU83_H9rye|12v1|DRR001012.585241 4039 6872 323 86 globlastp WNU83_H10switchgrass|gb167|FL734741 4040 6873 323 84.09 glotblastn WNU98_H2sorghum|12v1|SB04G026090 4041 6874 325 94.3 globlastp WNU98_H4foxtail_millet|11v3|PHY7SI035026M_P1 4042 6875 325 88.3 globlastpWNU98_H5 foxtail_millet|11v3|EC612739_P1 4043 6876 325 87.6 globlastpWNU98_H6 foxtail_millet|11v3|PHY7SI000916M_P1 4044 6877 325 87.4globlastp WNU98_H22 switchgrass|12v1|FE607028_P1 4045 6878 325 87.2globlastp WNU98_H7 switchgrass|gb167|FE607028 4046 6878 325 87.2globlastp WNU98_H23 switchgrass|12v1|FE608115_P1 4047 6879 325 87.1globlastp WNU98_H8 switchgrass|gb167|FE608115 4048 6879 325 87.1globlastp WNU98_H24 switchgrass|12v1|FE599520_P1 4049 6880 325 86.9globlastp WNU98_H10 rice|11v1|AA754522 4050 6881 325 85.2 globlastpWNU98_H12 barley|12v1|AV833668_P1 4051 6882 325 82.7 globlastp WNU98_H13wheat|12v3|BJ268384 4052 6883 325 82.5 globlastp WNU98_H14rye|12v1|DRR001012.140848 4053 6884 325 81.2 globlastp WNU98_H15wheat|12v3|BE500326 4054 6885 325 81.2 globlastp WNU98_H16rye|12v1|DRR001012.130831 4055 6886 325 80.8 globlastp WNU98_H19rye|12v1|DRR001012.119066 4056 6887 325 80.3 globlastp WNU98_H20rye|12v1|BE494854 4057 6888 325 80.1 globlastp WNU98_H25barley|12v1|BG414863_P1 4058 6889 325 80 globlastp WNU99_H1maize|10v1|BM032584_P1 4059 6890 326 89.7 globlastp WNU99_H3switchgrass|12v1|FL698201_P1 4060 6891 326 88.2 globlastp WNU99_H2maize|10v1|AW520084_P1 4061 6892 326 88 globlastp WNU99_H4switchgrass|12v1|FE632329_P1 4062 6893 326 87.3 globlastp Table 2:Provided are the homologous polypeptides and polynucleotides of thegenes identified in Table 1 and of their cloned genes, which canincrease nitrogen use efficiency, fertilizer use efficiency, yield, seedyield, growth rate, vigor, biomass, oil content, fiber yield, fiberquality, fiber length, abiotic stress tolerance and/or water useefficiency of a plant. Homology was calculated as % of identity over thealigned sequences. The query sequences were polypeptide sequences SEQ IDNOs: 202-327 and polynucleotides SEQ ID NOs: 1-201) and the subjectsequences are polypeptide sequences or polynucleotide sequences whichwere dynamically translated in all six reading frames identified in thedatabase based on greater than 80% identity to the query polypeptidesequences. “Polyp.” = polypeptide; “Polyn.” - Polynucleotide. Algor. =Algorithm, “globlastp” - global homology using blastp; “glotblastn” -global homology using tblastn. “Hom.” - homologous.

The output of the functional genomics approach described herein is a setof genes highly predicted to improve nitrogen use efficiency, fertilizeruse efficiency, yield, seed yield, growth rate, vigor, biomass, oilcontent, fiber yield, fiber length, fiber quality, abiotic stresstolerance and/or water use efficiency of a plant by increasing theirexpression.

Although each gene is predicted to have its own impact, modifying themode of expression of more than one gene or gene product (RNA,polypeptide) is expected to provide an additive or synergistic effect onthe desired trait (e.g., nitrogen use efficiency, fertilizer useefficiency, yield, growth rate, vigor, biomass, oil content, abioticstress tolerance and/or water use efficiency of a plant). Altering theexpression of each gene described here alone or of a set of genestogether increases the overall yield and/or other agronomic importanttraits, hence expects to increase agricultural productivity.

Example 3 Production of Arabidopsis Transcriptome and High ThroughputCorrelation Analysis Using 44K Arabidopsis Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a Arabidopsis oligonucleotide micro-array, produced by AgilentTechnologies [chem (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 44,000Arabidopsis genes and transcripts. To define correlations between thelevels of RNA expression with NUE, yield components or vigor relatedparameters various plant characteristics of 14 different Arabidopsisecotypes were analyzed. Among them, ten ecotypes encompassing theobserved variance were selected for RNA expression analysis. Thecorrelation between the RNA levels and the characterized parameters wasanalyzed using Pearson correlation test [davidmlane (dot)com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Arabidopsis tissues—Two tissues of plants [leaves and stems]growing at two different nitrogen fertilization levels (1.5 mM Nitrogenor 6 mM Nitrogen) were sampled and RNA was extracted as described above.Each micro-array expression information tissue type has received a SetID as summarized Table 3 below.

TABLE 3 Arabidopsis transcriptome experimental sets Expression Set SetID Leaves at 1.5 mM Nitrogen fertilization 1 Leaves at 6 mM Nitrogenfertilization 2 Stems at 1.5 mM Nitrogen fertilization 3 Stem at 6 mMNitrogen fertilization 4 Table 3.

Arabidopsis yield components and vigor related parameters underdifferent nitrogen fertilization levels assessment—10 Arabidopsisaccessions in 2 repetitive plots each containing 8 plants per plot weregrown at greenhouse. The growing protocol used was as follows: surfacesterilized seeds were sown in Eppendorf tubes containing 0.5×Murashige-Skoog basal salt medium and grown at 23° C. under 12-hourlight and 12-hour dark daily cycles for 10 days. Then, seedlings ofsimilar size were carefully transferred to pots filled with a mix ofperlite and peat in a 1:1 ratio. Constant nitrogen limiting conditionswere achieved by irrigating the plants with a solution containing 1.5 mMinorganic nitrogen in the form of KNO₃, supplemented with 2 mM CaCl₂,1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 5 mM KCl, 0.01 mM H₃BO₃ andmicroelements, while normal irrigation conditions was achieved byapplying a solution of 6 mM inorganic nitrogen also in the form of KNO₃,supplemented with 2 mM CaCl₂, 1.25 mM KH₂PO₄, 1.50 mM MgSO₄, 0.01 mMH₃BO₃ and microelements. To follow plant growth, trays were photographedthe day nitrogen limiting conditions were initiated and subsequentlyevery 3 days for about 15 additional days. Rosette plant area was thendetermined from the digital pictures. ImageJ software was used forquantifying the plant size from the digital pictures [rsb (dot) info(dot) nih (dot) gov/ij/] utilizing proprietary scripts designed toanalyze the size of rosette area from individual plants as a function oftime. The image analysis system included a personal desktop computer(Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37(Java based image processing program, which was developed at the U.S.National Institutes of Health and freely available on the internet[rsbweb (dot) nih (dot) gov/]). Next, analyzed data was saved to textfiles and processed using the JMP statistical analysis software (SASinstitute).

Data parameters collected are summarized in Table 4, hereinbelow.

TABLE 4 Arabidopsis correlated parameters (vectors) Correlated parameterwith Correlation ID N_1.5 mM 1000 Seeds weight [gr] 1 N 1.5 mM Biomassreduction compared to 6 mM [gr] 2 N 1.5 mM DW/SPAD [gr./SPAD unit] 3 N1.5 mM Dry Weight [gr] 4 N 1.5 mM Harvest Index 5 N 1.5 mM Leaf BladeArea 10 day [cm²] 6 N 1.5 mM Leaf Number 10 day 7 N 1.5 mM GR of RosetteArea 3 day [cm²/day] 8 N 1.5 mM Rosette Area 10 day [cm²] 9 N 1.5 mMRosette Area 8 day [cm²] 10 N 1.5 mM SPAD/DW [SPAD unit/gr.] 11 N 1.5 mMSeed Yield [gr] 12 N 1.5 mM Seed yield reduction compared to 6 mM [gr]13 N 1.5 mM Spad/FW [SPAD unit/gr.] 14 N 1.5 mM seed yield/spad[gr./SPAD unit] 15 N 1.5 mM seed yield per leaf blead [gr./cm²] 16 N 1.5mM seed yield per rossete area day 10 [gr./cm²] 17 N 1.5 mM t50Flowering [days] 18 N 6 mMDW/SPAD [gr./SPAD unit] 19 N 6 mMSpad/FW [SPADunit/gr.] 20 N 6 mM 10 day 00 Seeds weight [gr] 21 N 6 mM Dry Weight[gr] 22 N 6 mM Harvest Index 23 N 6 mM Leaf Blade Area 10 day [cm²] 24 N6 mM Leaf Number 10 day 25 N 6 mM GR of Rosette Area 3 day [cm²/day] 26N 6 mM Rosette Area 10 day [cm²] 27 N 6 mM Rosette Area 8 day [cm²] 28 N6 mM Seed Yield [gr] 29 N 6 mM Seed yield/N unit [gr./SPAD unit] 30 N 6mM seed yield/rossete area day 10 day [gr./cm²] 31 N 6 mM seedyield/leaf blade [gr./cm²] 32 N 6 mM spad/DW [SPAD unit/gr.] 33 N 6 mMt50 Flowering (days) 34 Table 4. “N” = Nitrogen at the notedconcentrations; “gr.” = grams; “SPAD” = chlorophyll levels; “t50” = timewhere 50% of plants flowered; “gr./SPAD unit” = plant biomass expressedin grams per unit of nitrogen in plant measured by SPAD. “DW” = plantdry weight; “N level/DW” = plant Nitrogen level measured in SPAD unitper plant biomass [gr.]; “DW/N level” = plant biomass per plant[gr.]/SPAD unit;

Assessment of NUE, yield components and vigor-related parameters—TenArabidopsis ecotypes were grown in trays, each containing 8 plants perplot, in a greenhouse with controlled temperature conditions for about12 weeks. Plants were irrigated with different nitrogen concentration asdescribed above depending on the treatment applied. During this time,data was collected documented and analyzed. Most of chosen parameterswere analyzed by digital imaging.

Digital Imaging—Greenhouse Assay

An image acquisition system, which consists of a digital reflex camera(Canon EOS 400D) attached with a 55 mm focal length lens (Canon EF-Sseries) placed in a custom made Aluminum mount, was used for capturingimages of plants planted in containers within an environmentalcontrolled greenhouse. The image capturing process was repeated every2-3 days starting at day 9-12 till day 16-19 (respectively) fromtransplanting.

An image processing system was used, which consists of a personaldesktop computer (Intel P4 3.0 GHz processor) and a public domainprogram—ImageJ 1.37, Java based image processing software, which wasdeveloped at the U.S. National Institutes of Health and is freelyavailable on the internet at Hypertext Transfer Protocol://rsbweb (dot)nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels(3888×2592 pixels) and stored in a low compression JPEG (JointPhotographic Experts Group standard) format. Next, image processingoutput data was saved to text files and analyzed using the JMPstatistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated,including leaf number, leaf blade area, Rosette diameter and area.

Vegetative growth rate: the growth rate (GR) of leaf blade area (FormulaXII), leaf number (Formula VIII), rosette area (Formula IX), rosettediameter (Formula X), plot coverage (Formula XI) and Petiole RelativeArea (Formula XXV) were calculated using the indicated Formulas asdescribed above.

Seed yield and 1000 seeds weight—At the end of the experiment all seedsfrom all plots were collected and weighed in order to measure seed yieldper plant in terms of total seed weight per plant (gr.). For thecalculation of 1000 seed weight, an average weight of 0.02 grams wasmeasured from each sample, the seeds were scattered on a glass tray anda picture was taken. Using the digital analysis, the number of seeds ineach sample was calculated.

Dry weight and seed yield—At the end of the experiment, plant wereharvested and left to dry at 30° C. in a drying chamber. The biomass wasseparated from the seeds, weighed and divided by the number of plants.Dry weight=total weight of the vegetative portion above ground(excluding roots) after drying at 30° C. in a drying chamber.

Harvest Index—The harvest index was calculated using Formula XV asdescribed above.

T₅₀ days to flowering—Each of the repeats was monitored for floweringdate.

Days of flowering was calculated from sowing date till 50% of the plotsflowered.

Plant nitrogen level—The chlorophyll content of leaves is a goodindicator of the nitrogen plant status since the degree of leafgreenness is highly correlated to this parameter. Chlorophyll contentwas determined using a Minolta SPAD 502 chlorophyll meter andmeasurement was performed at time of flowering. SPAD meter readings weredone on young fully developed leaf. Three measurements per leaf weretaken per plot. Based on this measurement, parameters such as the ratiobetween seed yield per nitrogen unit [seed yield/N level=seed yield perplant [gr.]/SPAD unit], plant DW per nitrogen unit [DW/N level=plantbiomass per plant [gr.]/SPAD unit], and nitrogen level per gram ofbiomass [N level/DW=SPAD unit/plant biomass per plant (gr.)] werecalculated.

Percent of seed yield reduction—measures the amount of seeds obtained inplants when grown under nitrogen-limiting conditions compared to seedyield produced at normal nitrogen levels expressed in %.

Experimental Results

10 different Arabidopsis accessions (ecotypes) were grown andcharacterized for 37 parameters as described above. The average for eachof the measured parameters was calculated using the JMP software andvalues are summarized in Table 5 below. Subsequent correlation analysisbetween the various transcriptome sets (Table 3) and the measuredparameters was conducted. Following, the results were integrated to thedatabase.

TABLE 5 Measured parameters in Arabidopsis accessions Corr. ID/ Line-Line- Line- Line- Line- Line- Line- Line- Line- Line- Line 1 2 3 4 5 6 78 9 10  1 0.016 0.016 0.018 0.014 0.022 0.015 0.014 0.022 0.019 0.018  260.746 76.706 78.560 78.140 78.641 73.192 83.068 77.190 70.120 62.972  40.164 0.124 0.082 0.113 0.124 0.134 0.106 0.148 0.171 0.184  5 0.1920.203 0.295 0.085 0.071 0.241 0.179 0.081 0.079 0.031  6 0.335 0.2660.374 0.387 0.370 0.386 0.350 0.379 0.307 0.373  7 6.875 7.313 7.3137.875 7.750 7.625 7.188 8.625 5.929 7.938  8 0.631 0.793 0.502 0.4910.720 0.825 0.646 0.668 0.636 0.605  9 1.430 1.325 1.766 1.971 1.8321.818 1.636 1.996 1.150 1.754 10 0.760 0.709 1.061 1.157 1.000 0.9100.942 1.118 0.638 0.996 12 0.032 0.025 0.023 0.010 0.009 0.032 0.0190.012 0.014 0.006 13 72.559 84.701 78.784 87.996 92.622 76.710 81.93891.301 85.757 91.820 16 0.095 0.095 0.063 0.026 0.024 0.084 0.059 0.0340.044 0.015 17 0.022 0.019 0.014 0.005 0.005 0.018 0.013 0.007 0.0120.003 18 15.967 20.968 14.836 24.708 23.698 18.059 19.488 23.568 21.88823.566 21 0.015 0.017 0.018 0.012 0.016 0.015 0.014 0.017 0.016 0.016 220.419 0.531 0.382 0.518 0.579 0.501 0.628 0.649 0.573 0.496 23 0.2800.309 0.284 0.158 0.206 0.276 0.171 0.212 0.166 0.136 24 0.342 0.3150.523 0.449 0.430 0.497 0.428 0.509 0.405 0.430 25 6.250 7.313 8.0638.750 8.750 8.375 7.125 9.438 6.313 8.063 26 0.689 1.024 0.614 0.6010.651 0.676 0.584 0.613 0.515 0.477 27 1.406 1.570 2.673 2.418 2.1422.474 1.965 2.721 1.642 2.207 28 0.759 0.857 1.477 1.278 1.095 1.2361.094 1.410 0.891 1.224 29 0.116 0.165 0.108 0.082 0.119 0.139 0.1070.138 0.095 0.068 31 0.082 0.106 0.041 0.034 0.056 0.057 0.055 0.0510.058 0.031 32 0.339 0.526 0.207 0.183 0.277 0.281 0.252 0.271 0.2350.158 34 16.371 20.500 14.635 24.000 23.595 15.033 19.750 22.887 18.80423.378  3 0.006 0.004 0.005 0.006 0.006 11 167.300 241.061 194.977169.343 157.823 14 45.590 42.110 53.110 67.000 28.150 15 0.001 0.0000.001 0.000 0.000 19 0.019 0.018 0.015 0.015 0.028 20 22.490 28.27033.320 39.000 17.640 30 0.004 0.003 0.005 0.003 0.002 33 53.705 54.62566.479 68.054 35.548 Table 5. Provided are the measured parameters undervarious treatments in various ecotypes (Arabidopsis accessions).

TABLE 6 Correlation between the expression level of WNU selected genesof some embodiments of the invention in various tissues and thephenotypic performance under normal or low nitrogen fertilizationconditions across Arabidopsis accessions Gene Exp. Cor. Gene Exp. Cor.Name R P value set Set ID Name R P value set Set ID WNU5 0.704 3.44E−024  4 WNU5 0.826 3.21E−03 3 17 WNU5 0.801 5.31E−03 3 16 WNU5 0.7621.05E−02 3 12 WNU7 0.709 2.18E−02 1 34 WNU7 0.730 1.65E−02 3 31 Table 6.“Corr. ID”—correlation set ID according to the correlated parametersTable above. “Exp. Set”—Expression set. “R” = Pearson correlationcoefficient; “P” = p value.

Example 4 Production of Arabidopsis Transcriptome and High ThroughputCorrelation Analysis of Yield, Biomass and/or Vigor Related ParametersUsing 44K Arabidopsis Full Genome Oligonucleotide Micro-Array

To produce a high throughput correlation analysis comparing betweenplant phenotype and gene expression level, the present inventorsutilized an Arabidopsis thaliana oligonucleotide micro-array, producedby Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 40,000 A.thaliana genes and transcripts designed based on data from the TIGR ATH1v.5 database and Arabidopsis MPSS (University of Delaware) databases. Todefine correlations between the levels of RNA expression and yield,biomass components or vigor related parameters, various plantcharacteristics of 15 different Arabidopsis ecotypes were analyzed.Among them, nine ecotypes encompassing the observed variance wereselected for RNA expression analysis. The correlation between the RNAlevels and the characterized parameters was analyzed using Pearsoncorrelation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Arabidopsis tissues—Five tissues at different developmentalstages including root, leaf, flower at anthesis, seed at 5 days afterflowering (DAF) and seed at 12 DAF, representing different plantcharacteristics, were sampled and RNA was extracted as described above.Each micro-array expression information tissue type has received a SetID as summarized in Table 7 below.

TABLE 7 Tissues used for Arabidopsis transcriptome expression setsExpression Set Set ID Leaf 1 Root 2 Seed 5 DAF 3 Flower 4 Seed 12 DAF 5Table 7: Provided are the identification (ID) letters of each of theArabidopsis expression sets (A-E). DAF = days after flowering.

Yield components and vigor related parameters assessment—Eight out ofthe nine Arabidopsis ecotypes were used in each of 5 repetitive blocks(named A, B, C, D and E), each containing 20 plants per plot. The plantswere grown in a greenhouse at controlled conditions in 22° C., and theN:P:K fertilizer (20:20:20; weight ratios) [nitrogen (N), phosphorus (P)and potassium (K)] was added. During this time data was collected,documented and analyzed. Additional data was collected through theseedling stage of plants grown in a vertical grown transparent agarplates. Most of chosen parameters were analyzed by digital imaging.

Digital imaging in plantlets analysis—A laboratory image acquisitionsystem was used for capturing images of plantlets sawn in square agarplates. The image acquisition system consists of a digital reflex camera(Canon EOS 300D) attached to a 55 mm focal length lens (Canon EF-Sseries), mounted on a reproduction device (Kaiser RS), which included 4light units (4×150 Watts light bulb) and located in a darkroom.

Digital imaging in Greenhouse—The image capturing process was repeatedevery 3-4 days starting at day 7 till day 30. The same camera attachedto a 24 mm focal length lens (Canon EF series), placed in a custom madeiron mount, was used for capturing images of larger plants sawn in whitetubs in an environmental controlled greenhouse. The white tubs weresquare shape with measurements of 36×26.2 cm and 7.5 cm deep. During thecapture process, the tubs were placed beneath the iron mount, whileavoiding direct sun light and casting of shadows. This process wasrepeated every 3-4 days for up to 30 days.

An image analysis system was used, which consists of a personal desktopcomputer (Intel P43.0 GHz processor) and a public domain program—ImageJ1.37, Java based image processing program, which was developed at theU.S. National Institutes of Health and is freely available on theinternet at rsbweb (dot) nih (dot) gov/. Images were captured inresolution of 6 Mega Pixels (3072×2048 pixels) and stored in a lowcompression JPEG (Joint Photographic Experts Group standard) format.Next, analyzed data was saved to text files and processed using the JMPstatistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated,including leaf number, area, perimeter, length and width. On day 30, 3-4representative plants were chosen from each plot of blocks A, B and C.The plants were dissected, each leaf was separated and was introducedbetween two glass trays, a photo of each plant was taken and the variousparameters (such as leaf total area, laminar length etc.) werecalculated from the images. The blade circularity was calculated aslaminar width divided by laminar length.

Root analysis—During 17 days, the different ecotypes were grown intransparent agar plates. The plates were photographed every 3 daysstarting at day 7 in the photography room and the roots development wasdocumented (see examples in FIGS. 3A-F). The growth rate of roots wascalculated according to Formula XXVIII (above).

Vegetative growth rate analysis—was calculated according to FormulasVII-XIII above. The analysis was ended with the appearance ofoverlapping plants.

For comparison between ecotypes the calculated rate was normalized usingplant developmental stage as represented by the number of true leaves.In cases where plants with 8 leaves had been sampled twice (for exampleat day 10 and day 13), only the largest sample was chosen and added tothe Anova comparison.

Seeds in siliques analysis—On day 70, 15-17 siliques were collected fromeach plot in blocks D and E. The chosen siliques were light brown colorbut still intact. The siliques were opened in the photography room andthe seeds were scatter on a glass tray, a high resolution digitalpicture was taken for each plot. Using the images the number of seedsper silique was determined.

Seeds average weight—At the end of the experiment all seeds from plotsof blocks A-C were collected. An average weight of 0.02 grams wasmeasured from each sample, the seeds were scattered on a glass tray anda picture was taken. Using the digital analysis, the number of seeds ineach sample was calculated.

Oil percentage in seeds—At the end of the experiment all seeds fromplots of blocks A-C were collected. Columbia seeds from 3 plots weremixed grounded and then mounted onto the extraction chamber. 210 ml ofn-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. Theextraction was performed for 30 hours at medium heat 50° C. Once theextraction has ended the n-Hexane was evaporated using the evaporator at35° C. and vacuum conditions. The process was repeated twice. Theinformation gained from the Soxhlet extractor (Soxhlet, F. Diegewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J.(Dingler's) 1879, 232, 461) was used to create a calibration curve forthe Low Resonance NMR. The content of oil of all seed samples wasdetermined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument)and its MultiQuant software package.

Silique length analysis—On day 50 from sowing, 30 siliques fromdifferent plants in each plot were sampled in block A. The chosensiliques were green-yellow in color and were collected from the bottomparts of a grown plant's stem. A digital photograph was taken todetermine silique's length.

Dry weight and seed yield—On day 80 from sowing, the plants from blocksA-C were harvested and left to dry at 30° C. in a drying chamber. Thebiomass and seed weight of each plot was separated, measured and dividedby the number of plants. Dry weight=total weight of the vegetativeportion above ground (excluding roots) after drying at 30° C. in adrying chamber; Seed yield per plant=total seed weight per plant (gr).

Oil yield—The oil yield was calculated using Formula XXIX above.

Harvest Index (seed)—The harvest index was calculated using Formula XV(described above).

Experimental Results

Nine different Arabidopsis ecotypes were grown and characterized for 18parameters (named as vectors). Table 8 describes the Arabidopsiscorrelated parameters. The average for each of the measured parameterwas calculated using the JMP software (Table 9) and a subsequentcorrelation analysis was performed (Table 10). Results were thenintegrated to the database.

TABLE 8 Arabidopsis correlated parameters (vectors) Correlated parameterwith Correlation ID Blade circularity 1 Dry matter per plant [gr] 2Harvest Index 3 Lamina length [cm] 4 Lamina width [cm] 5 Leafwidth/length 6 Oil % per seed [%] 7 Oil yield per plant [mg] 8 Seeds perPod 9 Silique length [cm] 10 Total Leaf Area per plant [cm²] 11Vegetative growth rate [cm²/day] 12 fresh weight [gr] 13 relative rootgrowth [cm/day] 14 root length day 13 [cm] 15 root length day 7 [cm] 16seed weight [gr] 17 seed yield per plant [gr] 18 Table 8. Provided arethe Arabidopsis correlated parameters (correlation ID Nos. 1-18).Abbreviations: Cm = centimeter(s); gr. = gram(s); mg = milligram(s).

The characterized values are summarized in Table 9 below.

TABLE 9 Measured parameters in Arabidopsis ecotypes Corr ID./ LineLine-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9  1 0.5090.481 0.450 0.370 0.501 0.376 0.394 0.491 0.409  2 0.640 1.270 1.0501.280 1.690 1.340 0.810 1.210 1.350  3 0.530 0.350 0.560 0.330 0.3700.320 0.450 0.510 0.410  4 2.767 3.544 3.274 3.785 3.690 4.597 3.8773.717 4.149  5 1.385 1.697 1.460 1.374 1.828 1.650 1.510 1.817 1.668  60.353 0.288 0.316 0.258 0.356 0.273 0.305 0.335 0.307  7 34.420 31.19038.050 27.760 35.490 32.910 31.560 30.790 34.020  8 118.630 138.730224.060 116.260 218.270 142.110 114.150 190.060 187.620  9 45.440 53.47058.470 35.270 48.560 37.000 39.380 40.530 25.530 10 1.060 1.260 1.3101.470 1.240 1.090 1.180 1.180 1.000 11 46.860 109.890 58.360 56.800114.660 110.820 88.490 121.790 93.040 12 0.313 0.378 0.484 0.474 0.4250.645 0.430 0.384 0.471 13 1.510 3.607 1.935 2.082 3.556 4.338 3.4673.479 3.710 14 0.631 0.664 1.176 1.089 0.907 0.774 0.606 0.701 0.782 154.419 8.530 5.621 4.834 5.957 6.372 5.649 7.060 7.041 16 0.937 1.7590.701 0.728 0.991 1.163 1.284 1.414 1.251 17 0.020 0.023 0.025 0.0340.020 0.026 0.020 0.023 0.024 18 0.340 0.440 0.590 0.420 0.610 0.4300.360 0.620 0.550 Table 9. Provided are the values of each of theparameters (as described above) measured in Arabidopsis accessions(line) under normal growth conditions. Growth conditions are specifiedin the experimental procedure section.

TABLE 10 Correlation between the expression level of WNU selected genesof some embodiments of the invention in various tissues and thephenotypic performance under normal or low nitrogen fertilizationconditions across Arabidopsis accessions Gene Exp. Cor. Gene Exp. Cor.Name R P value set Set ID Name R P value set Set ID WNU5 0.746 5.41E−023 16 WNU6 0.788 3.55E−02 3  3 WNU7 0.728 6.39E−02 3  9 WNU7 0.8242.26E−02 3 10 WNU7 0.738 5.84E−02 3 18 WNU7 0.770 4.28E−02 3  8 WNU70.862 1.27E−02 3 14 WNU7 0.704 5.12E−02 5  5 Table 10. “Corr.ID”—correlation set ID according to the correlated parameters Tableabove. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient;“P” = p value.

Example 5 Production of Barley Transcriptome and High ThroughputCorrelation Analysis Using 44K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a Barley oligonucleotide micro-array, produced by AgilentTechnologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 47,500Barley genes and transcripts. In order to define correlations betweenthe levels of RNA expression and yield or vigor related parameters,various plant characteristics of 25 different Barley accessions wereanalyzed. Among them, 13 accessions encompassing the observed variancewere selected for RNA expression analysis. The correlation between theRNA levels and the characterized parameters was analyzed using Pearsoncorrelation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Barley Tissues—Five tissues at different developmental stages[meristem, flower, booting spike, stem, flag leaf], representingdifferent plant characteristics, were sampled and RNA was extracted asdescribed above. Each micro-array expression information tissue type hasreceived a Set ID as summarized in Table 11 below.

TABLE 11 Barley transcriptome expression sets Expression Set Set IDbooting spike 1 flowering spike 2 meristem 3 Stem 4 Table 11.

Barley yield components and vigor related parameters assessment—25Barley accessions in 4 repetitive blocks (named A, B, C, and D), eachcontaining 4 plants per plot were grown at net house. Plants werephenotyped on a daily basis following the standard descriptor of barley(Table 12, below). Harvest was conducted while 50% of the spikes weredry to avoid spontaneous release of the seeds. Plants were separated tothe vegetative part and spikes, of them, 5 spikes were threshed (grainswere separated from the glumes) for additional grain analysis such assize measurement, grain count per spike and grain yield per spike. Allmaterial was oven dried and the seeds were threshed manually from thespikes prior to measurement of the seed characteristics (weight andsize) using scanning and image analysis. The image analysis systemincluded a personal desktop computer (Intel P4 3.0 GHz processor) and apublic domain program—ImageJ 1.37 (Java based image processing program,which was developed at the U.S. National Institutes of Health and freelyavailable on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzeddata was saved to text files and processed using the JMP statisticalanalysis software (SAS institute).

TABLE 12 Barley standard descriptors Trait Parameter Range DescriptionGrowth habit Scoring 1-9 Prostrate (1) or Erect (9) Hairiness of ScoringP (Presence)/ Absence (1) or Presence (2) basal leaves A (Absence) StemScoring 1-5 Green (1), Basal only or pigmentation Half or more (5) Daysto Days Days from sowing to Flowering emergence of awns Plant heightCentimeter Height from ground level (cm) to top of the longest spikeexcluding awns Spikes per plant Number Terminal Counting Spike lengthCentimeter Terminal Counting 5 spikes (cm) per plant Grains per spikeNumber Terminal Counting 5 spikes per plant Vegetative dry GramOven-dried for 48 hours at weight 70° C. Spikes dry Gram Oven-dried for48 hours at weight 30° C. Table 12.

Grains per spike—At the end of the experiment (50% of the spikes weredry) all spikes from plots within blocks A-D were collected. The totalnumber of grains from 5 spikes that were manually threshed was counted.The average grain per spike was calculated by dividing the total grainnumber by the number of spikes.

Grain average size (cm)—At the end of the experiment (50% of the spikeswere dry) all spikes from plots within blocks A-D were collected. Thetotal grains from 5 spikes that were manually threshed were scanned andimages were analyzed using the digital imaging system. Grain scanningwas done using Brother scanner (model DCP-135), at the 200 dpiresolution and analyzed with Image J software. The average grain sizewas calculated by dividing the total grain size by the total grainnumber.

Grain average weight (mgr)—At the end of the experiment (50% of thespikes were dry) all spikes from plots within blocks A-D were collected.The total grains from 5 spikes that were manually threshed were countedand weight. The average weight was calculated by dividing the totalweight by the total grain number.

Grain yield per spike (gr)—At the end of the experiment (50% of thespikes were dry) all spikes from plots within blocks A-D were collected.The total grains from 5 spikes that were manually threshed were weight.The grain yield was calculated by dividing the total weight by the spikenumber.

Spike length analysis—At the end of the experiment (50% of the spikeswere dry) all spikes from plots within blocks A-D were collected. Thefive chosen spikes per plant were measured using measuring tapeexcluding the awns.

Spike number analysis—At the end of the experiment (50% of the spikeswere dry) all spikes from plots within blocks A-D were collected. Thespikes per plant were counted.

Growth habit scoring—At the growth stage 10 (booting), each of theplants was scored for its growth habit nature. The scale that was usedwas 1 for prostate nature till 9 for erect.

Hairiness of basal leaves—At the growth stage 5 (leaf sheath stronglyerect; end of tillering), each of the plants was scored for itshairiness nature of the leaf before the last. The scale that was usedwas 1 for prostate nature till 9 for erect.

Plant height—At the harvest stage (50% of spikes were dry) each of theplants was measured for its height using measuring tape. Height wasmeasured from ground level to top of the longest spike excluding awns.

Days to flowering—Each of the plants was monitored for flowering date.Days of flowering was calculated from sowing date till flowering date.

Stem pigmentation—At the growth stage 10 (booting), each of the plantswas scored for its stem color. The scale that was used was 1 for greentill 5 for full purple.

Vegetative dry weight and spike yield—At the end of the experiment (50%of the spikes were dry) all spikes and vegetative material from plotswithin blocks A-D were collected. The biomass and spikes weight of eachplot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant=total spike weight per plant (gr) after drying at30° C. in oven for 48 hours.

Harvest index (for barley)—The harvest index was calculated usingFormula XVIII (described above).

TABLE 13 Barley correlated parameters (vectors) Correlated parameterwith Correlation ID Grain weight [mg] 1 Grains Size [mm²] 2 Grains perspike 3 Growth habit [scores 1-9] 4 Hairiness of basal leaves [scoring1-2] 5 Plant height [cm] 6 Seed Yield of 5 Spikes [gr] 7 Spike length[cm] 8 Spikes per plant 9 Stem pigmentation [scoring 1-5] 10 Vegetativedry weight [gr] 11 days to flowering [days] 12 Table 13.

Experimental Results

13 different Barley accessions were grown and characterized for 13parameters as described above. The average for each of the measuredparameter was calculated using the JMP software and values aresummarized in Table 14 below. Subsequent correlation analysis betweenthe various transcriptome sets (Table 11) and the average parameters,was conducted. Follow, results were integrated to the database.

TABLE 14 Measured parameters of correlation Ids in Barley accessionsCor. ID./L L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13  135.0 28.1 28.8 17.9 41.2 29.7 35.0 20.6 37.1 25.2  2 0.3 0.2 0.2 0.2 0.30.3 0.3 0.2 0.3 0.2  3 20.2 18.0 17.3 17.7 14.5 16.8 14.1 21.5 13.4 12.1 4 2.6 2.0 1.9 3.2 4.3 2.7 3.5 3.0 2.5 3.6  5 1.5 1.3 1.7 1.1 1.4 1.71.2 1.0 1.6 1.3  6 134.3 130.5 138.8 114.6 127.8 129.4 121.6 126.8 121.4103.9  7 3.6 2.5 2.6 1.6 3.0 2.5 2.6 2.3 2.7 1.5  8 12.0 10.9 11.8 9.911.7 11.5 11.2 11.1 10.2 8.9 10 1.1 2.5 1.7 1.8 2.3 2.3 2.2 2.3 3.1 1.711 78.9 66.1 68.5 53.4 68.3 74.2 58.3 62.2 68.3 35.4 12 62.4 64.1 65.258.9 63.0 70.5 60.9 58.1 60.4 52.8  1 35.0 28.1 28.8 17.9 41.2 29.7 35.020.6 37.1 25.2 27.5 29.6 19.6  2 0.3 0.2 0.2 0.2 0.3 0.3 0.3 0.2 0.3 0.20.2 0.3 0.2  3 20.2 18.0 17.3 17.7 14.5 16.8 14.1 21.5 13.4 12.1 12.115.3 17.1  4 2.6 2.0 1.9 3.2 4.3 2.7 3.5 3.0 2.5 3.6 3.7 3.5 3.0  5 1.51.3 1.7 1.1 1.4 1.7 1.2 1.0 1.6 1.3 1.2 1.1 1.2  6 134.3 130.5 138.8114.6 127.8 129.4 121.6 126.8 121.4 103.9 99.8 118.4 117.2  7 3.6 2.52.6 1.6 3.0 2.5 2.6 2.3 2.7 1.5 1.7 2.4 1.7  8 12.0 10.9 11.8 9.9 11.711.5 11.2 11.1 10.2 8.9 8.6 10.5 9.8  9 48.8 48.3 37.4 61.9 33.3 41.740.6 62.0 50.6 40.0 49.3 43.1 51.4 10 1.1 2.5 1.7 1.8 2.3 2.3 2.2 2.33.1 1.7 1.8 1.6 2.2 11 78.9 66.1 68.5 53.4 68.3 74.2 58.3 62.2 68.3 35.438.3 56.1 42.7 12 62.4 64.1 65.2 58.9 63.0 70.5 60.9 58.1 60.4 52.8 53.064.6 56.0 Table 14. Provided are the values of each of the parameters(as described above) measured in barley accessions (line, “L”) undernormal growth conditions. Growth conditions are specified in theexperimental procedure section.

TABLE 15 Correlation between the expression level of WNU selected genesof some embodiments of the invention in various tissues and thephenotypic performance under normal fertilization conditions acrossbarley accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set SetID Name R P value set Set ID LAB446 0.748 2.05E−02 1  3 LYM82 0.8305.62E−03 3  6 LYM82 0.785 4.24E−03 3  8 LYM82 0.815 2.22E−03 3  7 LYM820.864 6.09E−04 3 11 LYM82 0.888 1.40E−03 3 12 WNU10 0.721 4.36E−02 2  4WNU10 0.894 2.72E−03 3  9 WNU11 0.711 4.79E−02 1  9 WNU11 0.758 1.79E−023  2 WNU11 0.749 7.95E−03 3  1 WNU12 0.862 2.83E−03 1  2 WNU12 0.8127.80E−03 1  1 WNU12 0.808 1.52E−02 3  9 WNU13 0.788 1.16E−02 1  2 WNU130.826 6.06E−03 1  1 WNU14 0.809 2.56E−03 3  9 WNU15 0.784 2.14E−02 1  9WNU16 0.811 4.43E−03 2  6 WNU16 0.753 3.12E−02 2 12 WNU16 0.766 9.84E−032  5 WNU16 0.843 4.35E−03 3  2 WNU16 0.869 2.38E−03 3  1 WNU17 0.8331.02E−02 2  3 WNU17 0.796 1.02E−02 3 11 WNU17 0.765 1.64E−02 3 12 WNU180.882 1.64E−03 1  2 WNU18 0.866 2.52E−03 1  1 WNU19 0.807 1.54E−02 2  4WNU20 0.768 9.43E−03 2  4 WNU20 0.744 3.45E−02 3  9 WNU23 0.930 2.83E−041  5 WNU26 0.901 8.96E−04 3  4 WNU27 0.733 2.47E−02 1  5 WNU29 0.8108.14E−03 1  5 WNU29 0.840 4.61E−03 3  2 WNU29 0.802 9.37E−03 3  1 WNU310.768 9.48E−03 2  2 WNU31 0.725 4.18E−02 2  1 WNU31 0.759 2.89E−02 2  7WNU33 0.767 2.63E−02 2  5 WNU33 0.790 3.80E−03 3  2 WNU34 0.833 1.02E−023  9 WNU35 0.756 3.02E−02 2  4 WNU35 0.887 3.32E−03 3  9 WNU36 0.7231.19E−02 3  9 WNU37 0.727 4.08E−02 1  9 WNU38 0.705 2.28E−02 2  4 WNU390.800 9.62E−03 1  7 WNU39 0.763 2.77E−02 3  9 WNU39 0.712 3.14E−02 3  3WNU40 0.707 3.34E−02 1  2 WNU40 0.800 1.71E−02 2  5 WNU40 0.728 2.62E−023 12 WNU44 0.809 8.22E−03 1  2 WNU44 0.827 5.92E−03 1  1 WNU44 0.7861.21E−02 1  7 WNU44 0.757 1.83E−02 1  5 WNU44 0.827 1.12E−02 3  9 WNU80.825 1.18E−02 2  4 WNU8 0.776 1.39E−02 3 12 WNU9 0.852 7.23E−03 2 10Table 15. “Corr. ID”—correlation set ID according to the correlatedparameters Table above. “Exp. Set”—Expression set. “R” = Pearsoncorrelation coefficient; “P” = p value.

Example 6 Production of Barley Transcriptome and High ThroughputCorrelation Analysis Using 60K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a Barley oligonucleotide micro-array, produced by AgilentTechnologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 60K Barleygenes and transcripts. In order to define correlations between thelevels of RNA expression and yield or vigor related parameters, variousplant characteristics of 15 different Barley accessions were analyzed.Among them, 10 accessions encompassing the observed variance wereselected for RNA expression analysis. The correlation between the RNAlevels and the characterized parameters was analyzed using Pearsoncorrelation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

15 Barley accessions in 5 repetitive blocks, each containing 5 plantsper pot were grown at net house. Three different treatments wereapplied: plants were regularly fertilized and watered during plantgrowth until harvesting (as recommended for commercial growth, plantswere irrigated 2-3 times a week, and fertilization was given in thefirst 1.5 months of the growth period) or under low Nitrogen (80%percent less Nitrogen) or under drought stress (cycles of drought andre-irrigating were conducted throughout the whole experiment, overall40% less water were given in the drought treatment).

Analyzed Barley tissues Five tissues at different developmental stages[leaf, stem, root tip and adventitious root, flower], representingdifferent plant characteristics, were sampled and RNA was extracted asdescribed above. Each micro-array expression information tissue type hasreceived a Set ID as summarized in Table 16 below.

TABLE 16 Barley transcriptome expression sets of vegetativedevelopmental stage Expression Set Set ID adv root T3 low N 1 adv rootT3 normal 2 leaf T3 low N 3 leaf T3 low normal 4 root tip T3 low N 5root tip T3 normal 6 Table 16. Provided are the barley transcriptomeexpression sets.

TABLE 17 Barley transcriptome expression sets of reproductivedevelopmental stage Expression Set Set ID booting spike: low N: 1booting spike: normal: 2 leaf: low N: 3 leaf: normal: 4 stem: low N: 5stem: normal: 6 Table 17. Provided are the barley transcriptomeexpression sets.

Barley yield components and vigor related parameters assessment—Plantswere phenotyped on a daily basis following the parameters listed inTable 18 below. Harvest was conducted while all the spikes were dry. Allmaterial was oven dried and the seeds were threshed manually from thespikes prior to measurement of the seed characteristics (weight andsize) using scanning and image analysis. The image analysis systemincluded a personal desktop computer (Intel P4 3.0 GHz processor) and apublic domain program—ImageJ 1.37 (Java based image processing program,which was developed at the U.S. National Institutes of Health and freelyavailable on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzeddata was saved to text files and processed using the JMP statisticalanalysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the potswere collected. The total grains from all spikes that were manuallythreshed were weighted. The grain yield was calculated by per plot orper plant.

Spike length and width analysis—At the end of the experiment the lengthand width of five chosen spikes per plant were measured using measuringtape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height usingmeasuring tape. Height was measured from ground level to top of thelongest spike excluding awns at two time points at the Vegetative growth(30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated,measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours at twotime points at the Vegetative growth (30 days after sowing) and atharvest.

Spikelet per spike=number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio was calculated using Formula XXIIabove.

Total No. of tillers—all tillers were counted per plot at two timepoints at the Vegetative growth (30 days after sowing) and at harvest.

Percent of reproductive tillers—the number of reproductive tillersbarring a spike at harvest was divided by the total numbers of tillers.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502chlorophyll meter and measurement was performed at time of flowering.SPAD meter readings were done on young fully developed leaf. Threemeasurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots—3 plants perplot were selected for measurement of root weight, root length and forcounting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of 3 plants per plot were recorded atdifferent time-points.

Average Grain Area (cm²)—At the end of the growing period the grainswere separated from the spike. A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The grain area was measured from those images and wasdivided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period thegrains were separated from the spike. A sample of ˜200 grains wasweighted, photographed and images were processed using the belowdescribed image processing system. The sum of grain lengths or width(longest axis) was measured from those images and was divided by thenumber of grains.

Average Grain perimeter (cm)—At the end of the growing period the grainswere separated from the spike. A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The sum of grain perimeter was measured from thoseimages and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recordedand number of days from sowing to heading was calculated.

Relative water content—Fresh weight (FW) of three leaves from threeplants each from different seed ID was immediately recorded; then leaveswere soaked for 8 hours in distilled water at room temperature in thedark, and the turgid weight (TW) was recorded. Total dry weight (DW) wasrecorded after drying the leaves at 60° C. to a constant weight.Relative water content (RWC) is calculated according to Formula I above.

Harvest Index (for barley)—The harvest index was calculated usingFormula XVIII above.

Growth rate: the growth rate (GR) of Plant Height (Formula III above),SPAD (Formula IV above) and number of tillers (Formula V above) werecalculated using the indicated Formulas.

Ratio low N/Normal: Represents ratio for the specified parameter of lowN condition results divided by Normal conditions results (maintenance ofphenotype under low N in comparison to normal conditions).

TABLE 18 Barley correlated parameters (vectors) Correlated parameterwith Correlation ID Lateral Roots 1 Lateral Roots NUE ratio 2 Leaf Area[cm²] 3 Leaf Area NUE ratio 4 Leaf Length [cm] 5 Leaf Length NUE ratio 6Num Leaves 7 Num Leaves NUE ratio 8 Num Seeds 9 Num Seeds NUE ratio 10Num Spikes 11 Num Spikes NUE ratio 12 Num Tillers 13 Plant Height [cm]14 Plant Height NUE ratio 15 Root FW [gr] 16 Root FW NUE ratio 17 RootLength [cm] 18 Root Length NUE ratio 19 SPAD 20 SPAD NUE ratio 21 SeedYield [gr] 22 Seed Yield NUE ratio 23 Shoot FW [gr] 24 Shoot FW NUEratio 25 Spike Length [cm] 26 Spike Length NUE ratio 27 Spike Width [mm]28 Spike Width NUE ratio 29 Spike weight [gr] 30 Spike weight NUE ratio31 Tiller survival NUE 32 Tiller survival NUE ratio 33 Tiller survivalNormal 34 Total Tillers 35 Total Tillers NUE ratio 36 Table 18. Providedare the barley correlated parameters.

Experimental Results

15 different Barley accessions were grown and characterized fordifferent parameters as described above. Table 18 describes the Barleycorrelated parameters. The average for each of the measured parameterwas calculated using the JMP software and values are summarized inTables 19-20 below. Subsequent correlation analysis between the varioustranscriptome sets and the average parameters was conducted (Table 21).Follow, results were integrated to the database.

TABLE 19 Measured parameters of correlation IDs in Barley accessionsunder normal conditions Line ID/ L- L- L- L- L- L- L- L- L- L- L- L- L-L- L- Corr. ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  1 7.0 7.0 8.3 6.38.0 8.7 8.7 8.3 9.7 10.7 9.7 9.7 8.7 10.0 9.7  3 294.0 174.0 309.5 75.1317.6 305.1 198.6 273.0 275.6 313.5 308.5 258.8 291.1 299.4 296.1  5501.5 386.4 478.3 278.5 496.7 467.6 348.0 498.5 593.7 534.5 550.9 479.0399.3 384.3 469.6  7 24.2 22.0 19.5 20.2 21.4 20.8 18.2 22.7 25.5 23.228.3 22.2 19.0 17.3 22.0  9 1093.5 263.3 987.8 157.7 972.6 683.4 510.5242.4 581.8 621.0 1069.0 903.2 949.9 984.2 767.6 11 41.5 48.0 30.0 54.727.6 38.6 32.0 36.0 71.4 34.2 45.6 49.8 28.0 19.3 38.0 13 2.0 1.3 2.32.0 1.3 2.3 2.0 1.0 2.3 2.3 3.3 2.3 1.3 1.3 1.7 14 64.7 52.8 68.0 44.076.2 76.4 84.0 67.4 82.0 72.0 56.6 65.8 62.8 91.6 66.2 16 0.3 0.0 0.00.4 0.5 0.2 0.3 0.3 0.4 0.6 0.3 0.4 0.3 0.2 0.3 18 21.3 15.2 14.0 17.427.8 14.3 15.0 21.8 20.3 27.2 16.0 24.0 13.5 21.5 15.2 20 39.1 32.5 36.536.5 36.7 39.2 41.4 35.2 33.7 34.2 42.8 37.0 36.9 35.0 36.8 22 46.4 5.739.7 3.7 42.4 33.2 19.8 10.8 22.6 30.3 54.1 37.0 42.0 35.4 38.3 24 2.21.6 2.5 1.3 2.1 1.9 1.9 1.3 3.0 15.6 3.0 2.6 1.8 2.2 1.8 26 16.5 15.919.8 13.1 17.0 19.3 19.2 18.3 20.4 17.2 19.1 20.3 21.7 16.5 16.1 28 9.55.8 10.0 4.3 10.0 9.0 9.1 8.3 6.6 10.5 8.8 7.4 10.4 10.2 10.4 30 69.421.7 63.5 16.9 60.1 69.8 39.4 34.9 50.3 60.8 79.1 62.7 60.0 55.9 59.7 340.9 NA 0.9 2.1 1.0 0.9 0.8 0.9 1.5 1.0 0.9 1.0 1.0 0.7 1.0 35 46.7 NA32.4 26.0 28.5 44.3 41.6 40.0 48.8 34.6 48.6 49.2 29.0 27.5 38.8 Table19. Provided are the values of each of the parameters (as describedabove) measured in Barley accessions (line, “L”) under growth conditionsas described above. Growth conditions are specified in the experimentalprocedure section.

TABLE 20 Measured parameters of correlation IDs in Barley accessionsunder low N conditions Line ID/ Corr. ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8L-9 L-10 L-11 L-12 L-13 L-14 L-15  1 5.0 5.0 6.7 4.3 5.3 5.3 6.0 4.3 6.06.3 6.0 6.7 4.7 5.7 7.3  2 0.7 0.7 0.8 0.7 0.7 0.6 0.7 0.5 0.6 0.6 0.60.7 0.5 0.6 0.8  3 39.4 49.9 54.1 37.0 74.8 53.0 46.3 51.5 57.1 67.864.2 52.4 46.2 68.0 57.9  4 0.1 0.3 0.2 0.5 0.2 0.2 0.2 0.2 0.2 0.2 0.20.2 0.2 0.2 0.2  5 102.9 128.5 135.9 120.3 148.0 123.7 107.8 111.6 142.4152.4 149.3 124.1 95.0 124.1 135.2  6 0.2 0.3 0.3 0.4 0.3 0.3 0.3 0.20.2 0.3 0.3 0.3 0.2 0.3 0.3  7 8.0 10.0 10.7 9.7 8.6 9.2 8.0 7.5 8.510.0 11.5 8.6 6.3 7.5 10.0  8 0.3 0.5 0.5 0.5 0.4 0.4 0.4 0.3 0.3 0.40.4 0.4 0.3 0.4 0.5  9 230.2 61.6 159.4 65.8 139.6 153.2 164.6 88.3133.6 106.0 222.6 219.2 143.5 201.8 125.0 10 0.2 0.2 0.2 0.4 0.1 0.2 0.30.4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 11 12.2 12.0 8.4 16.4 7.6 10.8 9.0 11.625.0 7.8 14.5 15.0 7.0 5.4 8.4 12 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.40.2 0.3 0.3 0.3 0.3 0.2 14 41.0 57.4 60.6 69.0 65.6 75.2 82.0 61.4 59.465.8 47.8 53.8 56.4 81.8 44.6 15 20.5 43.1 26.0 34.5 49.2 32.2 41.0 61.425.5 28.2 14.3 23.1 42.3 61.4 26.8 16 0.4 0.1 0.6 0.1 0.3 0.4 0.2 0.10.4 0.9 0.5 0.4 0.3 0.3 0.6 17 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00.0 0.0 0.0 0.0 0.0 18 24.7 17.2 24.5 18.8 21.0 21.7 21.7 22.0 21.7 22.223.0 30.5 22.8 23.8 24.5 19 92.5 85.8 105.0 51.4 46.7 92.9 81.3 88.061.9 35.9 86.3 87.1 72.1 102.1 91.9 20 24.0 18.6 23.0 22.0 24.5 25.623.3 26.5 23.9 26.6 23.2 25.4 24.2 25.0 26.1 21 11.1 11.7 9.2 17.6 11.913.6 12.3 21.2 8.0 1.7 7.7 9.8 13.8 11.5 14.3 22 9.8 1.1 6.4 1.4 6.7 6.77.3 3.3 5.1 6.0 9.7 7.4 5.8 7.8 6.3 23 0.5 0.1 0.5 0.1 0.2 0.5 0.5 0.20.2 0.2 0.6 0.3 0.4 0.4 0.4 24 0.4 0.2 0.5 0.3 0.4 0.6 0.4 0.3 0.6 0.80.5 0.5 0.4 0.5 0.6 25 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00.0 0.0 0.0 26 15.2 15.0 20.3 12.4 16.8 18.9 19.6 16.3 19.3 90.2 16.420.4 18.8 18.8 16.7 27 0.4 0.5 0.6 0.3 0.5 0.5 0.5 0.5 0.6 2.6 0.4 0.60.5 0.5 0.5 28 8.0 7.6 8.4 6.2 .1 9.1 8.1 9.4 4.9 9.6 7.2 7.1 8.5 10.09.4 29 0.1 0.4 0.1 0.4 0.2 0.1 0.2 0.3 0.1 0.2 0.1 0.1 0.1 0.2 0.2 3013.7 5.0 11.6 5.7 12.4 11.4 13.4 9.2 11.6 11.3 15.1 12.2 11.0 12.2 10.631 0.8 0.3 0.6 0.4 0.7 0.6 0.7 0.5 0.6 0.7 0.8 0.6 0.5 0.7 0.37 32 0.8NA 0.7 0.5 0.7 0.7 0.6 0.7 1.2 0.6 0.8 0.7 0.6 0.8 0.6 33 0.8 NA 0.8 0.20.7 0.8 0.8 0.8 0.8 0.6 0.8 0.7 0.7 1.1 0.6 35 16.2 NA 12.0 35.0 10.816.0 14.6 16.0 20.8 12.5 18.8 21.2 11.0 6.8 14.0 36 1.7 NA 1.2 8.1 1.11.8 1.6 1.9 3.2 1.2 2.1 2.9 1.1 0.7 1.4 Table 20.

TABLE 21 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal or low nitrogen fertilization conditions acrossbarley accessions (vegetative developmental stages) Gene Exp. Cor. GeneExp. Cor. Name R P value set Set ID Name R P value set Set ID LAB210.848 3.91E−03 1 10 LAB21 0.711 3.17E−02 1 12 LAB21 0.826 3.25E−03 5 33LAB446 0.788 1.16E−02 1 10 LAB446 0.723 1.82E−02 5 31 LAB446 0.8493.76E−03 3 27 LAB446 0.859 3.04E−03 3 26 LYM316 0.731 3.94E−02 6 13LYM316 0.758 1.10E−02 5 18 LYM316 0.711 3.16E−02 2 13 LYM316 0.8652.61E−03 3 27 LYM316 0.901 9.04E−04 3 17 LYM316 0.867 2.47E−03 3 26LYM316 0.894 1.13E−03 3 18 LYM316 0.833 5.35E−03 3 24 LYM316 0.9009.58E−04 3 16 LYM82 0.873 2.14E−03 1 12 LYM82 0.722 1.84E−02 5 32 LYM820.761 1.73E−02 2 16 WNU10 0.789 1.99E−02 6 20 WNU10 0.734 2.44E−02 1 28WNU10 0.801 5.33E−03 5  2 WNU10 0.718 2.95E−02 2 20 WNU10 0.707 3.31E−023 14 WNU11 0.781 2.21E−02 6 26 WNU11 0.810 8.10E−03 1 11 WNU11 0.8652.63E−03 1 32 WNU11 0.714 2.04E−02 5 20 WNU11 0.734 2.43E−02 3 27 WNU110.734 2.43E−02 3 26 WNU12 0.754 1.90E−02 2  1 WNU12 0.750 1.99E−02 3 21WNU13 0.706 2.25E−02 5 17 WNU13 0.713 2.07E−02 5 24 WNU13 0.759 1.09E−025 16 WNU13 0.709 2.18E−02 5  5 WNU13 0.824 6.34E−03 3  6 WNU13 0.8543.39E−03 3  4 WNU13 0.806 8.69E−03 3  8 WNU14 0.852 3.52E−03 1 18 WNU140.793 1.08E−02 3 31 WNU15 0.767 1.59E−02 3  1 WNU15 0.736 2.39E−02 3  5WNU16 0.868 5.16E−03 6 16 WNU16 0.735 1.54E−02 5  7 WNU16 0.752 1.21E−025  1 WNU16 0.827 3.17E−03 5 17 WNU16 0.818 3.79E−03 5 24 WNU16 0.8422.23E−03 5 16 WNU17 0.721 1.85E−02 5 31 WNU17 0.744 1.35E−02 5  1 WNU170.842 2.26E−03 5  2 WNU17 0.719 1.92E−02 5 24 WNU17 0.741 1.42E−02 5 16WNU18 0.760 1.74E−02 2  9 WNU18 0.777 1.37E−02 2 30 WNU18 0.735 2.42E−022 22 WNU19 0.773 2.44E−02 6 35 WNU19 0.776 2.37E−02 6  7 WNU19 0.8369.78E−03 6 18 WNU19 0.726 2.69E−02 1 18 WNU19 0.817 3.90E−03 5 35 WNU190.732 1.60E−02 5 11 WNU19 0.825 3.29E−03 5 36 WNU19 0.771 1.51E−02 2 35WNU19 0.756 1.85E−02 2 11 WNU19 0.730 2.54E−02 3 35 WNU19 0.736 2.37E−023 29 WNU19 0.861 2.88E−03 3 21 WNU19 0.802 9.28E−03 3 36 WNU19 0.7222.81E−02 3 18 WNU20 0.738 3.67E−02 6 35 WNU20 0.779 1.34E−02 2 35 WNU200.943 1.40E−04 3 27 WNU20 0.943 1.35E−04 3 26 WNU20 0.782 1.27E−02 3 24WNU20 0.766 1.60E−02 3 16 WNU21 0.813 1.41E−02 6 34 WNU21 0.710 4.86E−026 11 WNU21 0.709 3.24E−02 1  3 WNU21 0.724 1.80E−02 5 32 WNU21 0.7501.99E−02 2 18 WNU21 0.878 1.83E−03 2 24 WNU21 0.937 1.90E−04 2 16 WNU210.739 2.30E−02 3  7 WNU21 0.709 3.23E−02 3  2 WNU21 0.803 9.20E−03 3 17WNU21 0.827 5.91E−03 3 24 WNU21 0.821 6.69E−03 3 16 WNU22 0.797 1.01E−023  7 WNU22 0.815 7.44E−03 3 27 WNU22 0.870 2.32E−03 3 17 WNU22 0.8206.78E−03 3 26 WNU22 0.947 1.06E−04 3 24 WNU22 0.926 3.32E−04 3 16 WNU220.737 2.34E−02 3  5 WNU23 0.736 2.39E−02 1  1 WNU23 0.837 4.93E−03 2 20WNU25 0.754 3.05E−02 6 20 WNU25 0.880 1.75E−03 2 35 WNU26 0.704 3.41E−022  9 WNU26 0.873 2.13E−03 3  9 WNU27 0.891 2.97E−03 6 35 WNU27 0.8576.60E−03 6 11 WNU27 0.797 1.77E−02 6  7 WNU27 0.711 4.80E−02 6 24 WNU270.756 3.01E−02 6 13 WNU27 0.850 7.56E−03 6  5 WNU27 0.808 8.45E−03 3  7WNU27 0.730 2.56E−02 3 24 WNU28 0.931 2.69E−04 1 10 WNU28 0.839 4.73E−031 29 WNU28 0.736 2.38E−02 1 21 WNU29 0.758 2.94E−02 6 24 WNU29 0.7443.41E−02 6 13 WNU29 0.856 1.59E−03 5 27 WNU29 0.854 1.67E−03 5 17 WNU290.850 1.83E−03 5 26 WNU29 0.814 4.14E−03 5 24 WNU29 0.912 2.41E−04 5 16WNU29 0.752 1.95E−02 2 35 WNU29 0.804 8.95E−03 2  7 WNU29 0.839 4.73E−033 27 WNU29 0.723 2.78E−02 3 17 WNU29 0.829 5.69E−03 3 26 WNU29 0.8662.51E−03 3 24 WNU29 0.798 9.97E−03 3 16 WNU30 0.790 1.97E−02 6 34 WNU300.722 2.80E−02 1 33 WNU30 0.713 3.09E−02 1 12 WNU30 0.723 1.82E−02 5 33WNU30 0.720 1.89E−02 5 32 WNU30 0.711 3.19E−02 2 34 WNU30 0.814 7.53E−032 16 WNU30 0.738 2.31E−02 3  4 WNU31 0.758 2.93E−02 6 11 WNU31 0.8331.02E−02 6  7 WNU31 0.764 2.74E−02 6 24 WNU31 0.808 1.53E−02 6  5 WNU310.700 3.56E−02 1 11 WNU31 0.857 3.15E−03 1 18 WNU31 0.807 4.73E−03 5  1WNU31 0.781 7.63E−03 5 33 WNU31 0.849 3.83E−03 2  9 WNU31 0.716 3.02E−022  1 WNU31 0.718 2.95E−02 2 30 WNU31 0.760 1.75E−02 2 22 WNU31 0.8404.57E−03 3  6 WNU31 0.905 7.93E−04 3 11 WNU31 0.704 3.41E−02 3 36 WNU310.939 1.72E−04 3 32 WNU31 0.708 3.30E−02 3  4 WNU31 0.746 2.11E−02 3  3WNU31 0.816 7.37E−03 3  8 WNU32 0.735 3.80E−02 6 20 WNU33 0.749 2.01E−022 30 WNU33 0.779 1.33E−02 2 13 WNU33 0.789 1.15E−02 3 11 WNU33 0.7661.60E−02 3 36 WNU34 0.708 3.30E−02 1  1 WNU34 0.759 1.78E−02 1  2 WNU340.715 3.05E−02 1 18 WNU34 0.737 2.36E−02 2  9 WNU34 0.840 4.62E−03 3 30WNU35 0.764 1.65E−02 1  2 WNU35 0.719 2.89E−02 1 17 WNU35 0.728 2.63E−021 20 WNU35 0.729 2.60E−02 1 16 WNU35 0.765 1.62E−02 2  9 WNU35 0.7591.77E−02 2 30 WNU35 0.741 2.24E−02 2 22 WNU35 0.719 2.90E−02 3 10 WNU350.872 2.19E−03 3 21 WNU35 0.756 1.84E−02 3 19 WNU36 0.717 2.96E−02 1 18WNU36 0.731 2.54E−02 3 15 WNU36 0.700 3.56E−02 3 33 WNU37 0.827 1.14E−026 24 WNU37 0.788 2.02E−02 6 16 WNU37 0.731 3.96E−02 6 13 WNU37 0.8612.87E−03 1 18 WNU37 0.850 3.70E−03 1  3 WNU37 0.704 2.32E−02 5  7 WNU370.773 8.73E−03 5  1 WNU37 0.822 3.55E−03 5  2 WNU37 0.750 1.25E−02 5 17WNU37 0.863 2.74E−03 3 27 WNU37 0.715 3.03E−02 3 36 WNU37 0.751 1.96E−023 17 WNU37 0.861 2.84E−03 3 26 WNU37 0.833 5.32E−03 3 19 WNU37 0.7352.41E−02 3 18 WNU37 0.749 2.03E−02 3 24 WNU37 0.791 1.11E−02 3 16 WNU380.780 2.25E−02 6 35 WNU38 0.758 2.93E−02 6 13 WNU38 0.756 1.85E−02 1 28WNU38 0.778 8.04E−03 5  2 WNU38 0.856 1.59E−03 5 17 WNU38 0.800 5.48E−035 16 WNU38 0.731 2.52E−02 3 28 WNU38 0.725 2.70E−02 3 31 WNU39 0.7702.53E−02 6  7 WNU39 0.886 3.38E−03 6 24 WNU39 0.792 1.92E−02 6 30 WNU390.869 5.13E−03 6 13 WNU39 0.709 4.90E−02 6 22 WNU39 0.837 2.50E−03 5 35WNU39 0.865 1.22E−03 5 11 WNU39 0.922 1.47E−04 5 36 WNU39 0.756 1.13E−025 12 WNU39 0.790 1.13E−02 2 35 WNU39 0.788 1.16E−02 2 13 WNU39 0.7811.30E−02 3 11 WNU39 0.839 4.74E−03 3 32 WNU40 0.868 1.14E−03 5 33 WNU410.841 8.87E−03 6  9 WNU41 0.894 2.75E−03 6 30 WNU41 0.912 1.58E−03 6 22WNU41 0.890 1.29E−03 1 18 WNU41 0.744 1.36E−02 5 21 WNU41 0.748 1.28E−025 23 WNU41 0.701 3.53E−02 3 35 WNU41 0.798 9.91E−03 3 31 WNU41 0.9352.14E−04 3 11 WNU41 0.838 4.80E−03 3 36 WNU41 0.880 1.77E−03 3 32 WNU420.749 2.02E−02 1  1 WNU42 0.730 1.66E−02 5 10 WNU42 0.787 6.85E−03 5 21WNU42 0.868 2.42E−03 2 20 WNU42 0.846 4.05E−03 3 11 WNU42 0.794 1.06E−023 32 WNU43 0.785 1.21E−02 1 14 WNU43 0.729 2.60E−02 1 15 WNU43 0.9903.52E−07 2 24 WNU43 0.946 1.16E−04 2 16 WNU44 0.715 3.04E−02 1  1 WNU440.701 3.55E−02 1  2 WNU44 0.701 2.39E−02 5 12 WNU44 0.819 6.97E−03 3 27WNU44 0.833 5.35E−03 3 26 WNU44 0.756 1.85E−02 3 24 WNU44 0.760 1.75E−023 16 WNU8 0.705 5.07E−02 6 20 WNU8 0.771 2.52E−02 6 30 WNU8 0.7872.04E−02 6 13 WNU8 0.754 3.07E−02 6 22 WNU8 0.732 2.50E−02 1 28 WNU80.769 1.55E−02 1 15 WNU8 0.812 7.80E−03 1 33 WNU8 0.703 2.32E−02 5 27WNU8 0.857 1.54E−03 5 20 WNU8 0.724 1.78E−02 5 18 WNU8 0.703 3.45E−02 331 WNU8 0.956 5.59E−05 3 30 WNU8 0.782 1.28E−02 3  9 WNU8 0.748 2.04E−023 23 WNU8 0.860 2.94E−03 3 22 WNU9 0.703 3.47E−02 3 35 WNU9 0.7093.26E−02 3 36 WNU9 0.735 2.42E−02 3  9 Table 21. “Con. ID”—correlationset ID according to the correlated parameters Table above. “Exp.Set”—Expression set. “R” = Pearson correlation coefficient; “P” = pvalue.

TABLE 22 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal or low nitrogen fertilization conditions acrossbarley accessions (reproductive developmental stages) Gene Exp. Corr.Gene Exp. Corr. Name R P value set Set ID Name R P value set Set IDLAB21 0.747 1.31E−02 2 34 LAB21 0.725 1.77E−02 3  4 LAB21 0.718 1.95E−023  3 LAB21 0.712 2.08E−02 1 11 LAB21 0.882 7.27E−04 1 32 LAB446 0.7092.17E−02 5 23 LYM316 0.714 2.03E−02 6 13 LYM316 0.760 1.07E−02 5 27LYM316 0.749 1.26E−02 5 26 LYM316 0.802 5.23E−03 5 25 LYM316 0.7321.61E−02 4 13 LYM82 0.781 7.64E−03 5 25 LYM82 0.754 1.17E−02 5 24 LYM820.725 1.76E−02 5 16 WNU10 0.795 6.01E−03 6 13 WNU10 0.865 1.23E−03 3 35WNU10 0.719 1.92E−02 3 11 WNU10 0.823 3.44E−03 3 36 WNU10 0.746 1.31E−025 35 WNU10 0.772 8.87E−03 5 11 WNU10 0.736 1.52E−02 5 36 WNU11 0.7807.81E−03 2 34 WNU11 0.717 1.97E−02 2 18 WNU11 0.827 3.19E−03 2 24 WNU110.854 1.66E−03 2 16 WNU11 0.724 1.79E−02 3 10 WNU11 0.752 1.21E−02 3 11WNU11 0.736 1.53E−02 3 36 WNU11 0.755 1.16E−02 3 32 WNU11 0.747 1.30E−025 35 WNU11 0.763 1.03E−02 5 15 WNU11 0.922 1.44E−04 1 35 WNU11 0.8352.62E−03 1 11 WNU11 0.778 8.09E−03 1  1 WNU11 0.920 1.60E−04 1 36 WNU120.813 4.25E−03 3  7 WNU14 0.710 2.13E−02 3  6 WNU14 0.770 9.23E−03 3 29WNU14 0.748 1.29E−02 3  3 WNU14 0.801 5.38E−03 5 14 WNU15 0.742 1.40E−023  7 WNU15 0.773 8.71E−03 3  1 WNU15 0.702 2.36E−02 1 11 WNU16 0.7985.67E−03 2 18 WNU16 0.714 2.04E−02 2 16 WNU16 0.759 1.09E−02 3  2 WNU160.708 2.19E−02 4 24 WNU16 0.841 2.28E−03 4 16 WNU17 0.748 1.28E−02 2 34WNU17 0.766 9.81E−03 3  5 WNU17 0.750 1.24E−02 4 16 WNU17 0.878 8.26E−041  7 WNU17 0.797 5.80E−03 1 17 WNU17 0.710 2.15E−02 1 24 WNU17 0.7936.21E−03 1 16 WNU17 0.764 1.01E−02 1  5 WNU18 0.728 1.71E−02 6 34 WNU180.859 1.45E−03 6 11 WNU18 0.741 1.41E−02 6  5 WNU19 0.732 1.61E−02 2 35WNU19 0.736 1.52E−02 2 11 WNU19 0.708 2.20E−02 2 14 WNU19 0.775 8.44E−032  3 WNU19 0.728 1.69E−02 6 34 WNU19 0.792 6.37E−03 6 11 WNU19 0.7561.14E−02 6  1 WNU19 0.730 1.66E−02 6 24 WNU19 0.767 9.66E−03 6  3 WNU190.839 2.40E−03 3 35 WNU19 0.864 1.28E−03 3 11 WNU19 0.912 2.33E−04 3 36WNU19 0.798 5.65E−03 5 35 WNU19 0.782 7.52E−03 5 11 WNU19 0.723 1.81E−025  1 WNU19 0.805 4.97E−03 5 36 WNU19 0.710 2.15E−02 5 32 WNU19 0.7311.64E−02 4 34 WNU19 0.848 1.91E−03 4 11 WNU19 0.896 4.51E−04 1 35 WNU190.873 9.85E−04 1 11 WNU19 0.900 3.90E−04 1 27 WNU19 0.902 3.63E−04 1 36WNU19 0.907 2.92E−04 1 26 WNU19 0.756 1.14E−02 1 16 WNU20 0.701 2.38E−032 20 WNU20 0.800 5.46E−03 2  9 WNU20 0.811 4.45E−03 2 22 WNU20 0.8631.28E−03 6 26 WNU20 0.733 1.60E−02 4 20 WNU20 0.712 2.08E−02 4  9 WNU200.799 5.59E−03 4 22 WNU21 0.816 3.96E−03 2 26 WNU21 0.795 5.94E−03 3 28WNU21 0.774 8.60E−03 3 29 WNU22 0.763 1.03E−02 6 26 WNU23 0.788 6.81E−036 34 WNU23 0.797 5.80E−03 6 11 WNU23 0.760 1.08E−02 6  5 WNU23 0.8846.88E−04 5 11 WNU23 0.774 8.61E−03 5 36 WNU23 0.772 8.87E−03 5 32 WNU250.714 2.04E−02 6 35 WNU25 0.760 1.07E−02 6 11 WNU25 0.747 1.31E−02 6 13WNU25 0.782 7.49E−03 6  5 WNU25 0.758 1.11E−02 5 35 WNU25 0.799 5.54E−035 11 WNU25 0.769 9.35E−03 5 36 WNU25 0.705 2.28E−02 4 35 WNU25 0.8332.76E−03 4 11 WNU25 0.752 1.22E−02 4  5 WNU27 0.735 1.55E−02 2  3 WNU270.764 1.01E−02 3  7 WNU27 0.711 2.11E−02 3  5 WNU27 0.793 6.18E−03 4 16WNU28 0.908 2.77E−04 2 24 WNU28 0.839 2.40E−03 2 16 WNU28 0.713 2.07E−026 28 WNU28 0.807 4.76E−03 3 14 WNU28 0.777 8.16E−03 3 33 WNU28 0.7709.24E−03 5 14 WNU28 0.767 9.62E−03 5 33 WNU28 0.710 2.13E−02 4 28 WNU280.720 1.88E−02 1 35 WNU28 0.879 8.01E−04 1 11 WNU28 0.820 3.66E−03 1 36WNU28 0.813 4.26E−03 1 15 WNU28 0.783 7.45E−03 1 32 WNU28 0.806 4.86E−031 12 WNU30 0.772 8.89E−03 2 34 WNU30 0.820 3.68E−03 3 35 WNU30 0.8541.64E−03 3 10 WNU30 0.813 4.21E−03 3 36 WNU30 0.876 8.96E−04 5 17 WNU300.785 7.19E−03 5 16 WNU30 0.807 4.79E−03 1  1 WNU31 0.767 9.36E−03 2  7WNU31 0.708 2.19E−02 5 14 WNU31 0.753 1.19E−02 4 11 WNU32 0.755 1.16E−025 35 WNU32 0.721 1.87E−02 5 36 WNU32 0.805 4.95E−03 4 26 WNU32 0.7768.39E−03 1 35 WNU33 0.710 2.15E−02 2 35 WNU33 0.789 6.68E−03 2 13 WNU330.705 2.27E−02 3  5 WNU33 0.718 1.92E−02 5 35 WNU33 0.704 2.32E−02 5 36WNU33 0.756 1.14E−02 4 18 WNU33 0.719 1.92E−02 4 16 WNU33 0.716 1.99E−021 30 WNU34 0.724 1.79E−02 3 32 WNU34 0.701 2.38E−02 3  5 WNU34 0.8094.56E−03 5 35 WNU34 0.772 8.84E−03 5 11 WNU34 0.814 4.18E−03 5 36 WNU340.848 1.93E−03 1 11 WNU34 0.740 1.44E−02 1 36 WNU34 0.769 9.33E−03 1 32WNU34 0.821 3.57E−03 1 12 WNU35 0.727 1.71E−02 6 34 WNU35 0.758 1.11E−026 16 WNU35 0.704 2.30E−02 3 28 WNU35 0.789 6.71E−03 3 31 WNU35 0.8233.47E−03 3 29 WNU35 0.758 1.11E−02 5 25 WNU35 0.720 1.88E−02 4 13 WNU360.702 2.37E−02 2 14 WNU36 0.833 2.75E−03 6 24 WNU36 0.781 7.67E−03 6 16WNU36 0.830 2.94E−03 5 27 WNU36 0.736 1.53E−02 5 17 WNU36 0.825 3.32E−035 26 WNU36 0.816 4.00E−03 5 16 WNU37 0.745 1.35E−02 2 34 WNU37 0.7641.01E−02 6 11 WNU37 0.725 1.76E−02 6  7 WNU37 0.730 1.65E−02 6 24 WNU370.768 9.40E−03 6 16 WNU37 0.833 2.75E−03 3 15 WNU37 0.704 2.30E−02 5 33WNU37 0.813 4.22E−03 1 32 WNU38 0.724 1.79E−02 2  9 WNU38 0.819 3.77E−036 20 WNU38 0.889 5.90E−04 6 30 WNU38 0.773 8.75E−03 3 31 WNU38 0.7886.83E−03 5 35 WNU38 0.762 1.04E−02 5 11 WNU38 0.798 5.65E−03 5 36 WNU380.712 2.09E−02 1 28 WNU38 0.723 1.81E−02 1 29 WNU38 0.853 1.69E−03 1 21WNU39 0.776 8.37E−03 6 26 WNU39 0.760 1.07E−02 6 16 WNU39 0.710 2.15E−023 10 WNU39 0.742 1.39E−02 3 36 WNU39 0.796 5.92E−03 5 35 WNU39 0.8362.58E−03 5 11 WNU39 0.874 9.40E−04 5 36 WNU39 0.881 7.61E−04 1 11 WNU390.815 4.06E−03 1 36 WNU39 0.845 2.08E−03 1 32 WNU39 0.842 2.24E−03 1 12WNU39 0.787 6.93E−03 1  4 WNU39 0.774 8.63E−03 1  3 WNU40 0.701 2.39E−022 34 WNU40 0.708 2.19E−02 2 11 WNU40 0.776 8.37E−03 2  5 WNU40 0.8392.40E−03 6 26 WNU40 0.706 2.25E−02 5 35 WNU40 0.752 1.21E−02 5 36 WNU410.843 2.20E−03 3 35 WNU41 0.794 6.11E−03 3 36 WNU41 0.858 1.50E−03 3 18WNU41 0.720 1.89E−02 5 30 WNU41 0.787 6.86E−03 5 33 WNU41 0.750 1.25E−025  9 WNU41 0.711 2.11E−02 5 23 WNU41 0.753 1.20E−02 1  2 WNU41 0.7817.64E−03 1  1 WNU42 0.741 1.42E−02 6 26 WNU43 0.755 1.16E−02 2 20 WNU430.752 1.22E−02 2  9 WNU43 0.814 4.15E−03 2 22 WNU43 0.707 2.22E−02 1 15WNU43 0.854 1.64E−03 1 33 WNU44 0.764 1.01E−02 3 35 WNU44 0.755 1.16E−023 11 WNU44 0.780 7.78E−03 3 36 WNU44 0.826 3.26E−03 5  2 WNU8 0.7926.33E−03 2 28 WNU8 0.768 9.45E−03 6 11 WNU8 0.708 2.19E−02 6  1 WNU80.931 9.22E−05 3 15 WNU8 0.759 1.09E−02 5 11 WNU8 0.705 2.28E−02 5 36WNU8 0.843 2.20E−03 4  7 WNU8 0.887 6.31E−04 4 18 WNU8 0.775 8.51E−03 4 5 WNU8 0.787 6.88E−03 1 27 WNU8 0.914 2.16E−04 1 15 WNU8 0.788 6.77E−031 26 WNU9 0.791 6.38E−03 2  7 WNU9 0.709 2.18E−02 2 13 WNU9 0.7501.25E−02 2  5 WNU9 0.758 1.11E−02 6 34 WNU9 0.766 9.84E−03 6 11 WNU90.866 1.19E−03 6  5 WNU9 0.750 1.24E−02 3  5 WNU9 0.773 8.67E−03 5 11WNU9 0.706 2.25E−02 5 36 WNU9 0.820 3.68E−03 4 35 Table 22. “Con.ID”—correlation set ID according to the correlated parameters Tableabove. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient;“P” = p value.

Example 7 Production of Sorghum Transcriptome and High ThroughputCorrelation Analysis with Yield, Nue, and Abst Related ParametersMeasured in Fields Using 44K Sorguhm Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plantphenotype and gene expression level, the present inventors utilized asorghum oligonucleotide micro-array, produced by Agilent Technologies[chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. Thearray oligonucleotide represents about 44,000 sorghum genes andtranscripts. In order to define correlations between the levels of RNAexpression with ABST, yield and NUE components or vigor relatedparameters, various plant characteristics of 17 different sorghumhybrids were analyzed. Among them, 10 hybrids encompassing the observedvariance were selected for RNA expression analysis. The correlationbetween the RNA levels and the characterized parameters was analyzedusing Pearson correlation test [davidmlane (dot) com/hyperstat/A34739(dot) html].

Correlation of Sorghum Varieties Across Ecotypes Grown Under RegularGrowth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

Experimental Procedures

17 Sorghum varieties were grown in 3 repetitive plots, in field.Briefly, the growing protocol was as follows:

1. Regular growth conditions: sorghum plants were grown in the fieldusing commercial fertilization and irrigation protocols (370 liter permeter², fertilization of 14 units of 21% urea per entire growth period).

2. Drought conditions: sorghum seeds were sown in soil and grown undernormal condition until around 35 days from sowing, around stage V8(eight green leaves are fully expanded, booting not started yet). Atthis point, irrigation was stopped, and severe drought stress wasdeveloped.

3. Low Nitrogen fertilization conditions: sorghum plants were fertilizedwith 50% less amount of nitrogen in the field than the amount ofnitrogen applied in the regular growth treatment. All the fertilizer wasapplied before flowering.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampledper each treatment. Tissues [Flag leaf, Flower meristem and Flower] fromplants growing under normal conditions, severe drought stress and lownitrogen conditions were sampled and RNA was extracted as describedabove. Each micro-array expression information tissue type has receiveda Set ID as summarized in Table 23 below.

TABLE 23 Sorghum transcriptome expression sets in field experimentsExpression Set Set ID Flag Leaf Drought 1 Flag Leaf low nitrogen 2 FlagLeaf Normal 3 Flower Meristem Drought 4 Flower Meristem low nitrogen 5Flower Meristem Normal 6 Flower Drought 7 Flower low nitrogen 8 FlowerNormal 9 Table 23: Provided are the sorghum transcriptome expressionsets. Flag leaf = the leaf below the flower; Flower meristem = Apicalmeristem following panicle initiation; Flower = the flower at theanthesis day.

The following parameters were collected using digital imaging system:

Average Grain Area (cm²)—At the end of the growing period the grainswere separated from the Plant ‘Head’. A sample of ˜200 grains wereweighted, photographed and images were processed using the belowdescribed image processing system. The grain area was measured fromthose images and was divided by the number of grains.

Average Grain Length (cm)—At the end of the growing period the grainswere separated from the Plant ‘Head’. A sample of ˜200 grains wereweighted, photographed and images were processed using the belowdescribed image processing system. The sum of grain lengths (longestaxis) was measured from those images and was divided by the number ofgrains.

Grain size was also measured after dividing the grains into two groupsaccording to their size (lower and upper groups)

Head Average Area (cm²)—At the end of the growing period 5 ‘Heads’ were,photographed and images were processed using the below described imageprocessing system. The ‘Head’ area was measured from those images andwas divided by the number of ‘Heads’.

Head Average Length (cm)—At the end of the growing period 5 ‘Heads’were, photographed and images were processed using the below describedimage processing system. The ‘Head’ length (longest axis) was measuredfrom those images and was divided by the number of ‘Heads’.

An image processing system was used, which consists of a personaldesktop computer (Intel P4 3.0 GHz processor) and a public domainprogram—ImageJ 1.37, Java based image processing software, which wasdeveloped at the U.S. National Institutes of Health and is freelyavailable on the internet at rsbweb (dot) nih (dot) gov/. Images werecaptured in resolution of 10 Mega Pixels (3888×2592 pixels) and storedin a low compression JPEG (Joint Photographic Experts Group standard)format. Next, image processing output data for seed area and seed lengthwas saved to text files and analyzed using the JMP statistical analysissoftware (SAS institute).

Additional parameters were collected either by sampling 5 plants perplot or by measuring the parameter across all the plants within theplot.

Total Seed Weight per Head (gr.)—At the end of the experiment (plant‘Heads’) heads from plots within blocks A-C were collected. 5 heads wereseparately threshed and grains were weighted, all additional heads werethreshed together and weighted as well. The average grain weight perhead was calculated by dividing the total grain weight by number oftotal heads per plot (based on plot). In case of 5 heads, the totalgrains weight of 5 heads was divided by 5.

FW Head per Plant Gram—At the end of the experiment (when heads wereharvested) total heads and 5 selected heads per plots within blocks A-Cwere collected separately. The heads (total and 5) were weighted (gr.)separately, and the average fresh weight per plant was calculated fortotal (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr.based on 5 plants) heads.

Plant height—Plants were characterized for height during growing periodat 5 time points. In each measure, plants were measured for their heightusing a measuring tape. Height was measured from ground level to top ofthe longest leaf.

Plant leaf number—Plants were characterized for leaf number duringgrowing period at 5 time points. In each measure, plants were measuredfor their leaf number by counting all the leaves of 3 selected plantsper plot.

Growth Rate—was calculated using Formulas III (above) and VIII (above).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502chlorophyll meter and measurement was performed 64 days post sowing.SPAD meter readings were done on young fully developed leaf. Threemeasurements per leaf were taken per plot.

Vegetative dry weight and heads—At the end of the experiment (wheninflorescence were dry) all inflorescence and vegetative material fromplots within blocks A-C were collected. The biomass and heads weight ofeach plot was separated, measured and divided by the number of heads.

Dry weight=total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours;

Harvest Index (HI) (Sorghum)—The harvest index was calculated usingFormula XVI described above.

FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and theirrespective plant biomass was measured at the harvest day. The headsweight was divided by the sum of weights of heads and plants.

Experimental Results

17 different sorghum hybrids were grown and characterized for differentparameters (Table 24). The average for each of the measured parameterwas calculated using the JMP software (Table 25) and a subsequentcorrelation analysis was performed (Table 26). Results were thenintegrated to the database.

TABLE 24 Sorghum correlated parameters (vectors) Correlated parameterwith Correlation ID Average Grain Area (cm²), Drought 1 Average GrainArea (cm²), Low N 2 Average Grain Area (cm²), Normal 3 FW Head/Plant gr(based on plot), Drought 4 FW Head/Plant gr (based on plot), Low N 5 FWHead/Plant gr (based on plot), Normal 6 FW Head/Plant gr (based on 5plants), Low N 7 FW Head/Plant gr (based on 5 plants), Normal 8 FWHeads/(FW Heads + FW Plants) (all plot), Drought 9 FW Heads/(FW Heads +FW Plants) (all plot), Low N 10 FW Heads/(FW Heads + FW Plants) (allplot), Normal 11 FW/Plant gr (based on plot), Drought 12 FW/Plant gr(based on plot), Low N 13 FW/Plant gr (based on plot), Normal 14 FinalPlant Height (cm), Drought 15 Final Plant Height (cm), Low N 16 FinalPlant Height (cm), Normal 17 Head Average Area (cm²), Drought 18 HeadAverage Area (cm²), Low N 19 Head Average Area (cm²), Normal 20 HeadAverage Length (cm), Drought 21 Head Average Length (cm), Low N 22 HeadAverage Length (cm), Normal 23 Head Average Perimeter (cm), Drought 24Head Average Perimeter (cm), Low N 25 Head Average Perimeter (cm),Normal 26 Head Average Width (cm), Drought 27 Head Average Width (cm),Low N 28 Head Average Width (cm), Normal 29 Leaf SPAD 64 DPS (Days PostSowing), Drought 30 Leaf SPAD 64 DPS (Days Post Sowing), Low N 31 LeafSPAD 64 DPS (Days Post Sowing), Normal 32 Lower Ratio Average GrainArea, Low N 33 Lower Ratio Average Grain Area, Normal 34 Lower RatioAverage Grain Length, Low N 35 Lower Ratio Average Grain Length, Normal36 Lower Ratio Average Grain Perimeter, Low N 37 Lower Ratio AverageGrain Perimeter, Normal 38 Lower Ratio Average Grain Width, Low N 39Lower Ratio Average Grain Width, Normal 40 Total grain weight /Head(based on plot) gr, Low N 41 Total grain weight /Head gr (based on 5heads), Low N 42 Total grain weight /Head gr (based on 5 heads), Normal43 Total grain weight /Head gr (based on plot), Normal 44 Total grainweight /Head gr,(based on plot) Drought 45 Upper Ratio Average GrainArea, Drought 46 Upper Ratio Average Grain Area, Low N 47 Upper RatioAverage Grain Area, Normal 48 [Grain Yield[plant biomass/SPAD 64 DPS],Normal 49 [Grain Yield[ plant biomass/SPAD 64 DPS], Low N 50 [Grainyield /SPAD 64 DPS], Low N 51 [Grain yield /SPAD 64 DPS], Normal 52[Plant biomass (FW)/SPAD 64 DPS], Drought 53 [Plant biomass (FW)/SPAD 64DPS], Low N 54 [Plant biomass (FW)/SPAD 64 DPS], Normal 55 Table 24.Provided are the Sorghum correlated parameters (vectors). “gr.” = grams;“SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW”, Plant Dryweight; “normal” = standard growth conditions; “DPS” = days post-sowing;“Low N” = Low Nitrogen. FW—Head/Plant gr. (based on 5 plants), freshweigh of the harvested heads was divided by the number of heads thatwere phenotyped, Low N-low nitrogen conditions: Lower Ratio AverageGrain Area grain area of the lower fraction of grains.

TABLE 25 Measured parameters in Sorghum accessions under normal, low Nand drought conditions Seed ID/ Corr. ID L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 3 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1  6 175.2 223.5 56.4 111.6 67.3 66.9126.2 107.7  8 406.5 518.0 148.0 423.0 92.0 101.3 423.5 386.5 11 0.5 0.50.1 0.3 0.1 0.2 0.5 0.4 14 162.6 212.6 334.8 313.5 462.3 318.3 151.1137.6 17 95.3 79.2 197.9 234.2 189.4 194.7 117.3 92.8 20 120.1 167.685.1 157.3 104.0 102.5 168.5 109.3 23 25.6 26.8 21.0 26.8 23.1 21.8 31.323.2 26 61.2 67.9 56.3 65.4 67.5 67.5 74.4 56.2 29 6.0 7.9 4.9 7.4 5.65.9 6.8 6.0 32 43.0 . 43.3 44.7 45.8 41.6 45.2 45.1 34 0.8 0.7 0.8 0.80.7 0.7 0.8 0.8 36 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 38 0.9 0.9 0.9 0.90.9 0.9 0.9 0.9 40 0.9 0.8 0.8 0.9 0.8 0.8 0.9 0.9 43 47.4 46.3 28.470.4 32.2 49.2 63.5 44.5 44 31.1 26.4 18.7 38.4 26.7 28.8 47.7 31.0 481.2 1.3 1.1 1.1 1.2 1.1 1.2 1.2 49 4.5 8.2 7.9 10.7 8.3 4.4 3.7 4.8 523.8 7.7 7.0 10.1 7.6 3.3 3.0 3.9 55 0.7 0.4 0.9 0.6 0.7 1.1 0.7 0.9  20.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1  5 214.8 205.0 73.5 123.0 153.1 93.2134.1 77.4  7 388.0 428.7 297.7 208.0 208.3 303.7 436.0 376.3 10 0.5 0.50.2 0.4 0.2 0.2 0.5 0.4 13 204.8 199.6 340.5 240.6 537.8 359.4 149.2129.1 16 104.0 80.9 204.7 125.4 225.4 208.1 121.4 100.3 19 96.2 214.798.6 182.8 119.6 110.2 172.4 84.8 22 23.2 25.6 20.9 28.4 24.3 22.6 32.120.4 25 56.3 79.2 53.3 76.2 67.3 59.5 79.3 51.5 28 5.3 10.4 5.9 8.3 6.26.1 6.8 5.3 31 38.3 39.0 42.3 40.9 43.2 39.9 42.7 43.3 33 0.8 0.8 0.80.8 0.8 0.8 0.8 0.8 35 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 37 0.9 0.9 0.90.9 0.9 0.9 0.9 0.9 39 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 41 25.9 30.6 19.435.6 25.2 22.2 50.0 27.5 42 50.3 50.9 36.1 73.1 37.9 36.4 71.7 35.0 471.2 1.3 1.1 1.2 1.2 1.2 1.2 1.2 50 6.0 5.9 8.5 6.8 13.1 9.6 4.7 3.6 510.7 0.8 0.5 0.9 0.6 0.6 1.2 0.6 54 5.3 5.1 8.0 5.9 12.5 9.0 3.5 3.0  10.1 0.1 0.1 0.1 0.1 0.1  4 154.9 122.0 130.5 241.1 69.0 186.4 62.1 39.0 9 0.4 0.5 0.4 0.4 0.2 0.3 0.4 0.4 12 208.0 138.0 255.4 402.2 233.5391.7 89.3 50.6 15 89.4 75.7 92.1 94.3 150.8 110.7 99.2 84.0 18 83.1107.8 88.7 135.9 90.8 124.0 86.1 85.2 21 21.6 21.9 21.6 22.0 21.0 28.621.3 20.8 24 52.8 64.5 56.6 64.4 53.2 71.7 55.6 53.0 27 4.8 6.3 5.2 7.85.3 5.5 5.0 5.1 30 40.6 40.9 45.0 42.3 45.2 40.6 44.8 45.1 45 22.1 16.89.2 104.4 3.2 22.0 10.0 18.6 46 1.3 1.2 1.3 1.5 1.2 1.2 53 5.1 3.4 5.79.5 5.2 9.7 2.0 1.1 Seed ID/ Corr. ID L-9 L-10 L-11 L-12 L-13 L-14 L-15L-16 L-17  3 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1  6 123.9 102.8 82.377.6 91.2 150.4 109.1 107.6 130.9  8 409.5 329.0 391.0 435.8 429.5 441.0415.8 429.5 428.5 11 0.4 0.4 0.5 0.4 0.4 0.5 0.5 0.4 0.4 14 168.0 129.097.6 99.3 112.2 157.4 130.5 135.7 209.2 17 112.7 97.5 98.0 100.0 105.6151.2 117.1 124.5 126.5 20 135.1 169.0 156.1 112.1 154.7 171.7 168.5162.5 170.5 23 25.7 28.8 28.1 23.0 28.1 30.0 30.5 27.2 29.3 26 61.6 71.468.6 56.4 67.8 71.5 78.9 67.0 74.1 29 6.6 7.4 7.0 6.2 7.0 7.2 7.0 7.47.4 32 43.0 45.6 44.8 45.3 46.5 44.0 45.1 45.1 43.1 34 0.8 0.8 0.8 0.80.8 0.8 0.8 0.8 0.8 36 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 38 0.9 0.90.9 0.9 0.9 0.9 0.9 0.9 0.9 40 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 4356.7 60.0 45.5 58.2 70.6 70.1 54.0 59.9 52.7 44 40.0 38.4 32.1 32.7 32.851.5 35.7 38.3 42.4 48 1.2 1.2 1.3 1.2 1.2 1.2 1.2 1.3 1.2 49 3.7 2.92.9 3.1 4.8 3.7 3.9 5.8 52 2.8 2.2 2.2 2.4 3.6 2.9 3.0 4.9 55 0.8 0.70.7 0.7 1.2 0.8 0.8 1.0  2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1  5 129.699.8 76.9 84.2 92.2 138.8 113.3 95.5 129.5  7 474.7 437.7 383.0 375.0425.0 434.0 408.7 378.5 432.0 10 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 13178.7 124.3 101.3 132.1 117.9 177.0 143.7 127.0 180.4 16 121.1 94.5110.0 115.1 104.7 173.7 115.6 138.8 144.4 19 156.3 136.7 137.7 96.5158.2 163.9 138.4 135.5 165.6 22 26.7 26.3 25.4 23.1 27.9 28.9 27.6 25.530.3 25 69.9 66.2 67.4 57.9 70.6 73.8 66.9 65.4 76.0 28 7.5 6.6 6.9 5.37.2 7.2 6.3 6.6 6.8 31 39.0 42.7 40.1 44.0 45.4 44.8 42.6 43.8 46.7 330.8 0.8 0.7 0.8 0.8 0.8 0.8 0.8 0.8 35 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.90.9 37 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 39 0.9 0.9 0.8 0.9 0.9 0.90.9 0.9 0.9 41 51.1 36.8 29.4 26.7 29.4 51.1 37.0 39.9 41.8 42 76.7 57.642.9 36.5 68.6 71.8 49.3 43.9 52.1 47 1.2 1.2 1.2 1.2 1.2 1.2 1.3 1.21.2 50 5.9 3.8 3.3 3.6 3.2 5.1 4.2 3.8 4.8 51 1.3 0.9 0.7 0.6 0.6 1.10.9 0.9 0.9 54 4.6 2.9 2.5 3.0 2.6 4.0 3.4 2.9 3.9  1  4 58.9 76.4 33.542.2 41.5 131.7 60.8 44.3 185.4  9 0.4 0.4 0.5 0.5 0.5 0.4 0.3 0.2 0.312 87.0 120.4 37.2 48.2 44.2 231.6 116.0 123.1 342.5 15 99.0 92.2 81.998.8 86.5 99.6 83.0 83.5 92.3 18 113.1 100.8 80.4 126.9 86.4 92.3 77.976.9 21 24.7 24.3 21.9 25.0 19.5 20.4 16.8 18.9 24 69.8 65.1 55.3 69.153.3 56.3 49.1 51.9 27 5.8 5.4 4.7 6.3 5.6 5.8 5.9 5.1 30 40.7 45.4 42.644.2 44.6 42.4 43.3 40.3 40.8 45 29.3 10.5 14.8 12.9 18.2 11.6 18.6 16.446 53 2.1 2.7 0.9 1.1 1.0 5.5 2.7 3.1 8.4 Table 25: Provided are thevalues of each of the parameters (as described above) measured inSorghum accessions (Seed ID) under normal, low N and drought conditions.Growth conditions are specified in the experimental procedure section.

TABLE 26 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal or low nitrogen fertilization conditions acrosssorghum accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set SetID Name R P value set Set ID LAB101 0.895 4.69E−04 6 32 LAB101 0.8621.33E−03 6 38 LAB101 0.821 3.56E−03 9 32 LAB101 0.745 1.34E−02 9 40LAB101 0.928 1.07E−04 9 38 LAB101 0.725 1.77E−02 9 36 LAB101 0.7481.28E−02 9 34 LAB101 0.704 2.31E−02 2 31 LAB101 0.720 1.89E−02 3 17LAB572 0.771 9.01E−03 6 48 LAB572 0.762 1.04E−02 6  3 LAB572 0.9142.15E−04 2 41 LAB572 0.782 7.57E−03 2 22 LAB572 0.701 2.38E−02 2 42LAB572 0.850 1.86E−03 2 51 LAB572 0.882 7.34E−04 2 16 LAB572 0.8452.08E−03 8  2 LAB572 0.735 1.55E−02 3 44 WNU100 0.813 4.24E−03 9 17WNU100 0.904 3.34E−04 2 16 WNU100 0.723 1.83E−02 8 16 WNU101 0.7301.66E−02 6 48 WNU101 0.789 6.65E−03 2 47 WNU101 0.715 2.00E−02 2 28WNU101 0.784 7.31E−03 3 48 WNU105 0.819 3.78E−03 6 52 WNU105 0.7975.76E−03 6 49 WNU105 0.762 1.04E−02 2 51 WNU105 0.825 3.28E−03 5  2 WNU30.708 2.20E−02 2  7 WNU3 0.862 1.33E−03 2 41 WNU3 0.827 3.15E−03 2 22WNU3 0.790 6.52E−03 2 42 WNU3 0.788 6.73E−03 2 51 WNU3 0.804 5.08E−03 216 WNU3 0.749 1.27E−02 5  2 WNU3 0.916 5.19E−04 3 52 WNU3 0.703 2.32E−023  6 WNU3 0.915 5.37E−04 3 49 WNU3 0.712 2.09E−02 1  4 WNU90 0.7886.81E−03 2 47 WNU90 0.726 1.75E−02 2 28 WNU91 0.749 1.26E−02 6 44 WNU910.886 6.38E−04 4 53 WNU91 0.753 1.20E−02 4  4 WNU91 0.887 6.30E−04 4 12WNU91 0.738 1.48E−02 5  5 WNU91 0.718 1.95E−02 5 54 WNU91 0.777 8.20E−035 50 WNU91 0.804 5.10E−03 5 13 WNU92 0.823 3.44E−03 6 14 WNU93 0.7221.85E−02 6 17 WNU93 0.771 9.09E−03 6 40 WNU93 0.834 2.68E−03 6 44 WNU930.726 1.75E−02 6 36 WNU93 0.813 4.23E−03 6 34 WNU93 0.721 1.87E−02 2 33WNU93 0.729 1.68E−02 2 39 WNU93 0.806 4.84E−03 2 37 WNU93 0.741 1.41E−022 16 WNU93 0.789 6.65E−03 8 33 WNU93 0.717 1.97E−02 8 41 WNU93 0.7132.05E−02 8 39 WNU93 0.829 3.04E−03 8 35 WNU93 0.817 3.91E−03 8 42 WNU930.737 1.49E−02 8 51 WNU93 0.898 4.12E−04 8 37 WNU93 0.751 1.22E−02 5 33WNU93 0.713 2.06E−02 5 39 WNU93 0.747 1.31E−02 5 35 WNU93 0.786 7.02E−035 42 WNU93 0.876 9.01E−04 1 15 WNU94 0.742 1.40E−02 6 11 WNU94 0.7591.08E−02 6 44 WNU94 0.785 7.11E−03 4 15 WNU94 0.736 1.53E−02 5 16 WNU960.717 1.97E−02 6 44 WNU97 0.749 1.26E−02 6 17 WNU97 0.736 2.36E−02 9 52WNU97 0.773 1.46E−02 9 49 WNU97 0.961 9.57E−06 4 53 WNU97 0.878 8.35E−044  4 WNU97 0.965 6.14E−06 4 12 WNU97 0.700 2.42E−02 5 50 WNU97 0.7807.85E−03 5 13 WNU98 0.843 2.17E−03 6 17 WNU98 0.818 3.85E−03 6 44 WNU980.877 8.62E−04 4 53 WNU98 0.847 1.98E−03 4  4 WNU98 0.888 6.09E−04 4 12WNU99 0.826 3.22E−03 6 17 WNU99 0.778 8.06E−03 6 44 WNU99 0.823 3.45E−034 53 WNU99 0.741 1.42E−02 4  4 WNU99 0.838 2.48E−03 4 12 Table 26.“Corr. ID”—correlation set ID according to the correlated parametersTable above. “Exp. Set”—Expression set. “R” = Pearson correlationcoefficient; “P” = p value.

Example 8 Production of Sorghum Transcriptome and High ThroughputCorrelation Analysis with Biomass, Nue, and Abst Related ParametersMeasured in Semi-Hydroponics Conditions Using 44K SorguhmOligonucleotide Micro-Arrays

Sorghum Vigor Related Parameters Under Low Nitrogen, 100 mM NaCl, LowTemperature (10±2° C.) and Normal Growth Conditions—Ten Sorghum hybridswere grown in 3 repetitive plots, each containing 17 plants, at a nethouse under semi-hydroponics conditions. Briefly, the growing protocolwas as follows: Sorghum seeds were sown in trays filled with a mix ofvermiculite and peat in a 1:1 ratio. Following germination, the trayswere transferred to the high salinity solution (100 mM NaCl in additionto the Full Hoagland solution), low temperature (10±2° C. in thepresence of Full Hoagland solution), low nitrogen solution (the amountof total nitrogen was reduced in 90% from the full Hoagland solution(i.e., to a final concentration of 10% from full Hoagland solution,final amount of 1.2 mM N) or at Normal growth solution (Full Hoaglandcontaining 16 mM N solution, at 28±2° C.). Plants were grown at 28±2° C.

Full Hoagland solution consists of: KNO₃ —0.808 grams/liter, MgSO₄ —0.12grams/liter, KH₂PO₄ —0.172 grams/liter and 0.01% (volume/volume) of‘Super coratin’ micro elements (Iron-EDDHA[ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter;Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1grams/liter), solution's pH should be 6.5-6.8].

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampledper each treatment. Three tissues [leaves, meristems and roots] growingat 100 mM NaCl, low temperature (10±2° C.), low Nitrogen (1.2 mM N) orunder Normal conditions were sampled and RNA was extracted as describedabove. Each micro-array expression information tissue type has receiveda Set ID as summarized in Table 27 below.

TABLE 27 Sorghum transcriptome expression sets under semi hydroponicsconditions Expression Set Set ID Sorghum roots under cold 1 Sorghumroots under Normal Growth 2 Sorghum roots under Low Nitrogen 3 Sorghumroots under 100 mM NaCl 4 Sorghum meristems under cold 5 Sorghummeristems under Low Nitrogen 6 Sorghum meristems under 100 mM NaCl 7Sorghum meristems under Normal Growth 8 Table 27: Provided are theSorghum transcriptome expression sets. Cold conditions = 10 ± 2° C.;NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions =16 mM Nitrogen.

Experimental Results

10 different Sorghum hybrids were grown and characterized for thefollowing parameters: “Leaf No”=leaf number per plant (average of fiveplants); “Plant Height”=plant height [cm] (average of five plants); “DWRoot/Plant”—root dry weight per plant (average of five plants); DWShoot/Plant—shoot dry weight per plant (average of five plants) (Table28). The average for each of the measured parameter was calculated usingthe JMP software and values are summarized in Table 29 below. Subsequentcorrelation analysis was performed (Table 30). Results were thenintegrated to the database.

TABLE 28 Sorghum correlated parameters (vectors) Correlated parameterwith Correlation ID DW Root/Plant-100 mM NaCl [gr] 1 DW Root/Plant-Cold[gr] 2 DW Root/Plant-Low Nitrogen [gr] 3 DW Root/Plant-Normal [gr] 4 DWShoot/Plant-Low Nitrogen [gr] 5 DW Shoot/Plant-100 mM NaCl [gr] 6 DWShoot/Plant-Cold [gr] 7 DW Shoot/Plant-Normal [gr] 8 Leaf TP1-100 mMNaCl 9 Leaf TP1-Cold 10 Leaf TP1-Low Nitrogen 11 Leaf TP1-Normal 12 LeafTP2-100 mM NaCl 13 Leaf TP2-Cold 14 Leaf TP2-Low Nitrogen 15 LeafTP2-Normal 16 Leaf TP3-100 mM NaCl 17 Leaf TP3-Cold 18 Leaf TP3-LowNitrogen 19 Leaf TP3-Normal 20 Low N-NUE total biomass 21 LowN-Shoot/Root 22 Low N-NUE roots 23 Low N-NUE shoots 24 LowN-percent-root biomass compared to normal 25 Low N-percent-shoot biomasscompared to normal 26 Low N-percent-total biomass reduction 27 comparedto normal N level/Leaf [Low Nitrogen] 28 N level/Leaf [100 mM NaCl] 29 Nlevel/Leaf [Cold] 30 N level/Leaf [Normal] 31 Normal-Shoot/Root 32Normal-NUE roots 33 Normal-NUE shoots 34 Normal-NUE total biomass 35Plant Height TP1-100 mM NaCl [cm²] 36 Plant Height TP1-Cold [cm²] 37Plant Height TP1-Low Nitrogen [cm²] 38 Plant Height TP1-Normal [cm²] 39Plant Height TP2-Cold [cm²] 40 Plant Height TP2-Low Nitrogen [cm²] 41Plant Height TP2-Normal [cm²] 42 Plant Height TP2-100 mM NaCl [cm²] 43Plant Height TP3-100 mM NaCl [cm²] 44 Plant Height TP3-Low Nitrogen[cm²] 45 GR Leaf Num Normal [number/days] 46 Root Biomass [DW-gr.]/SPAD[100 mM NaCl] 47 Root Biomass [DW-gr.]/SPAD [Cold] 48 Root Biomass[DW-gr.]/SPAD [Low Nitrogen] 49 Root Biomass [DW-gr.]/SPAD [Normal] 50SPAD-Cold 51 SPAD-Low Nitrogen 52 SPAD-Normal 53 SPAD 100-mM NaCl 54Shoot Biomass [DW-gr.]/SPAD [100 mM NaCl] 55 Shoot Biomass [DW-gr.]/SPAD[Cold] 56 Shoot Biomass [DW-gr.]/SPAD [Low Nitrogen] 57 Shoot Biomass[DW-gr.]/SPAD [Normal] 58 Total Biomass-Root + Shoot [DW-gr.]/SPAD 59[100 mM NaCl] Total Biomass-Root + Shoot [DW-gr.]/SPAD [Cold] 60 TotalBiomass-Root + Shoot [DW-gr.]/SPAD 61 [Low Nitrogen] TotalBiomass-Root + Shoot [DW-gr.]/SPAD 62 [Normal] Table 28: Provided arethe Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl =100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mMNitrogen * TP1-2-3 refers to time points 1, 2 and 3. The time periodbetween TP1 and TP2 is 8 days and between TP2 and TP3 is 7 days (betweenTP1 and TP3 is 15 days).

TABLE 29 Sorghum accessions, measured parameters under differentconditions (as described above) Corr. ID/Seed ID L-1 L-2 L-3 L-4 L-5 L-6L-7 L-8 L-9 L-10  4 0.053 0.134 0.173 0.103 0.107 0.120 0.139 0.1240.099 0.115  8 0.101 0.236 0.313 0.158 0.194 0.188 0.241 0.244 0.1850.242 12 3.000 3.067 3.800 3.200 3.233 3.233 3.133 3.433 3.000 3.000 164.167 4.500 4.800 4.600 4.533 4.967 4.600 4.933 4.500 4.567 20 5.3335.867 6.200 5.800 5.800 5.733 5.733 6.000 5.600 6.067 39 7.467 9.30012.867 8.567 8.933 8.533 10.667 10.267 7.867 8.767 42 14.967 18.23322.100 17.600 18.067 18.533 22.833 22.033 20.033 21.800 46 0.155 0.1860.159 0.173 0.171 0.168 0.174 0.171 0.174 0.204 53 26.700 29.333 29.85629.089 24.978 24.622 30.789 25.500 32.889 33.544  3 0.044 0.108 0.2020.104 0.078 0.086 0.130 0.094 0.086 0.092  5 0.082 0.187 0.328 0.1630.163 0.156 0.259 0.199 0.130 0.184 11 3.000 3.133 3.867 3.533 3.2003.133 3.133 3.300 3.067 3.067 15 4.000 4.580 4.967 4.733 4.600 4.7004.967 4.867 4.667 4.567 19 3.900 4.267 4.700 4.233 4.300 4.567 4.6334.667 3.967 4.100 38 6.733 9.767 12.700 8.667 9.767 9.233 10.267 10.1007.933 8.233 41 13.300 20.633 23.700 18.033 19.333 19.200 21.867 22.13318.200 21.000 45 22.233 31.067 34.667 30.033 30.833 29.867 30.867 32.40029.367 30.700 52 26.878 28.022 29.644 31.522 29.611 26.822 28.478 28.21330.478 27.633  1 0.050 0.104 0.124 0.069 0.076 0.075 0.135 0.095 0.1650.139  6 0.094 0.186 0.202 0.137 0.130 0.133 0.154 0.189 0.099 0.124  93.000 3.133 3.400 3.067 3.333 3.067 3.067 3.267 3.000 3.067 13 4.0004.367 4.867 4.600 4.500 4.533 4.500 4.767 4.320 4.200 17 4.000 4.1334.567 4.433 4.067 4.333 4.133 4.500 3.780 4.200 36 7.900 9.500 10.9337.933 9.700 8.533 8.900 10.367 7.000 7.833 43 14.200 16.267 20.36713.333 15.900 16.533 15.467 18.933 13.680 15.767 44 21.800 23.167 30.36722.833 23.700 23.300 22.467 26.833 20.280 23.567 54 32.733 35.144 27.96730.933 34.533 29.989 32.089 31.856 32.513 34.322  2 0.068 0.108 0.1630.093 0.084 0.114 0.137 0.127 0.108 0.139  7 0.078 0.154 0.189 0.1120.130 0.165 0.152 0.150 0.112 0.141 10 3.000 3.000 3.500 3.167 3.4003.200 3.133 3.067 3.067 3.000 14 3.900 4.133 4.633 4.167 4.267 4.2334.200 4.300 4.167 4.000 18 4.733 5.333 5.433 5.500 5.333 5.067 4.5005.400 5.367 5.182 37 6.500 8.767 10.400 6.800 9.033 9.000 7.967 9.1676.500 7.227 40 11.167 15.867 18.433 12.200 16.033 14.633 14.600 17.26713.433 13.909 51 28.622 30.311 27.044 32.278 28.278 29.889 32.467 28.63331.711 29.557 30 6.047 5.683 4.978 5.869 5.302 5.899 7.215 5.302 5.9095.704 48 0.002 0.004 0.006 0.003 0.003 0.004 0.004 0.004 0.003 0.005 560.003 0.005 0.007 0.003 0.005 0.006 0.005 0.005 0.004 0.005 60 0.0050.009 0.013 0.006 0.008 0.009 0.009 0.010 0.007 0.009 21 27.528 64.124115.231 58.017 52.219 35.103 84.575 63.728 47.029 59.998 22 1.875 1.7071.731 1.568 2.096 1.815 2.062 2.097 1.504 1.999 23 9.647 23.538 43.87722.580 16.886 12.440 28.194 20.528 18.756 20.086 24 17.881 40.586 71.35435.436 35.333 22.663 56.381 43.200 28.273 39.912 25 84.528 80.954117.004 100.519 72.538 71.777 93.472 76.051 86.820 80.511 26 81.57379.164 104.754 103.497 83.707 83.215 107.689 81.386 70.300 75.859 2782.585 79.812 109.104 102.317 79.737 78.767 102.492 79.588 76.073 77.35528 6.892 6.568 6.307 7.446 6.886 5.873 6.146 6.046 7.683 6.740 49 0.0020.004 0.007 0.003 0.003 0.003 0.005 0.003 0.003 0.003 57 0.003 0.0070.011 0.005 0.005 0.006 0.009 0.007 0.004 0.007 61 0.005 0.011 0.0180.008 0.008 0.009 0.014 0.010 0.007 0.010 29 8.183 8.503 6.124 6.9778.492 6.921 7.763 7.079 8.601 8.172 47 0.002 0.003 0.004 0.002 0.0020.003 0.004 0.003 0.005 0.004 55 0.003 0.005 0.007 0.004 0.004 0.0040.005 0.006 0.003 0.004 59 0.004 0.008 0.012 0.007 0.006 0.007 0.0090.009 0.008 0.008 31 5.006 5.000 4.815 5.015 4.307 4.295 5.370 4.2505.873 5.529 32 1.984 1.936 1.897 1.586 1.813 1.579 1.759 1.988 1.8952.198 33 0.861 2.193 2.828 1.694 1.755 1.960 2.275 2.036 1.086 1.881 341.653 3.866 5.137 2.582 3.183 3.081 3.948 4.003 2.022 3.968 35 2.5146.059 7.964 4.276 4.939 5.041 6.223 6.038 3.108 5.849 50 0.002 0.0050.006 0.004 0.004 0.005 0.005 0.005 0.003 0.003 58 0.004 0.008 0.0100.005 0.008 0.008 0.008 0.010 0.006 0.007 62 0.006 0.013 0.016 0.0090.012 0.012 0.012 0.014 0.009 0.011 Table 29: Provided are the values ofeach of the parameters (as described above) measured in Sorghumaccessions (Seed ID) under low nitrogen, cold, salinity and normalconditions. Growth conditions are specified in the experimentalprocedure section.

TABLE 30 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under different conditions as described above across sorghumaccessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID NameR P value set Set ID LAB101 0.720 6.82E−02 3 26 LAB572 0.749 5.25E−02 325 WNU100 0.854 1.45E−02 3 49 WNU100 0.783 3.75E−02 3  3 WNU100 0.7415.70E−02 3 15 WNU100 0.890 7.31E−03 3  5 WNU100 0.858 1.34E−02 3 45WNU100 0.835 1.95E−02 3 23 WNU100 0.905 5.03E−03 3 61 WNU100 0.9035.32E−03 3 24 WNU100 0.899 5.89E−03 3 21 WNU100 0.895 6.44E−03 3 57WNU100 0.874 1.01E−02 3 41 WNU101 0.864 1.23E−02 3 49 WNU101 0.7674.41E−02 3  3 WNU101 0.762 4.67E−02 3  5 WNU101 0.846 1.65E−02 3 61WNU101 0.800 3.06E−02 3 57 WNU101 0.819 6.89E−03 2 50 WNU101 0.8335.25E−03 2 35 WNU101 0.823 6.41E−03 2 34 WNU101 0.730 2.55E−02 2  8WNU101 0.815 7.45E−03 2 20 WNU101 0.745 2.13E−02 2  4 WNU101 0.8444.26E−03 2 58 WNU101 0.847 4.00E−03 2 62 WNU101 0.827 5.97E−03 2 33WNU101 0.831 5.51E−03 5  7 WNU101 0.712 3.14E−02 5 48 WNU101 0.7073.31E−02 5  2 WNU101 0.787 1.19E−02 5 56 WNU101 0.773 1.46E−02 5 60WNU101 0.750 1.98E−02 8 50 WNU101 0.759 1.77E−02 8 35 WNU101 0.7561.85E−02 8 34 WNU101 0.767 1.58E−02 8 20 WNU101 0.759 1.78E−02 8 58WNU101 0.763 1.68E−02 8 62 WNU101 0.747 2.06E−02 8 33 WNU101 0.7291.68E−02 1  7 WNU101 0.704 2.31E−02 1 60 WNU105 0.749 2.02E−02 5 30 WNU30.741 5.67E−02 3 15 WNU3 0.729 6.32E−02 3 45 WNU3 0.763 1.68E−02 2 12WNU3 0.778 1.35E−02 2 39 WNU91 0.703 7.80E−02 3 49 WNU91 0.802 2.99E−023  3 WNU91 0.737 5.87E−02 3 15 WNU91 0.833 2.01E−02 3  5 WNU91 0.8531.46E−02 3 45 WNU91 0.889 7.46E−03 3 23 WNU91 0.710 7.39E−02 3 61 WNU910.933 2.18E−03 3 24 WNU91 0.939 1.74E−03 3 21 WNU91 0.779 3.90E−02 3 41WNU91 0.763 1.69E−02 7 54 WNU91 0.769 1.55E−02 8 31 WNU91 0.813 7.69E−038 53 WNU93 0.729 6.28E−02 3 25 WNU94 0.879 9.08E−03 3 52 WNU94 0.8621.27E−02 3 28 WNU94 0.886 1.49E−03 7  1 WNU94 0.904 8.23E−04 7 59 WNU940.902 8.90E−04 7 47 WNU96 0.711 7.33E−02 3 28 WNU96 0.716 3.02E−02 7 47WNU97 0.930 2.42E−03 3 49 WNU97 0.828 2.14E−02 3  3 WNU97 0.940 1.62E−033  5 WNU97 0.838 1.86E−02 3 45 WNU97 0.986 4.67E−05 3 61 WNU97 0.7883.53E−02 3 38 WNU97 0.702 7.88E−02 3 19 WNU97 0.975 1.94E−04 3 57 WNU970.912 4.17E−03 3 41 WNU97 0.704 3.44E−02 6 49 WNU97 0.735 2.41E−02 6  3WNU97 0.727 2.64E−02 6 15 WNU97 0.743 2.18E−02 6  5 WNU97 0.735 2.40E−026 11 WNU97 0.735 2.41E−02 6 23 WNU97 0.708 3.30E−02 6 61 WNU97 0.7432.18E−02 6 24 WNU97 0.749 2.03E−02 6 21 WNU98 0.777 3.99E−02 3 52 WNU980.733 6.09E−02 3 28 WNU98 0.742 2.21E−02 7 47 WNU99 0.706 7.63E−02 3  3WNU99 0.785 3.66E−02 3 15 WNU99 0.716 7.06E−02 3 45 WNU99 0.756 4.90E−023 23 WNU99 0.815 2.56E−02 3 52 WNU99 0.750 1.99E−02 5  7 WNU99 0.7422.20E−02 5 48 WNU99 0.796 1.03E−02 5 56 WNU99 0.793 1.08E−02 5 60 WNU990.732 2.51E−02 5 37 WNU99 0.835 5.09E−03 5 40 WNU99 0.705 3.38E−02 5 14Table 30 “Corr. ID”—correlation set ID according to the correlatedparameters Table above. “Exp. Set”—Expression set. “R” = Pearsoncorrelation coefficient; “P” = p value.

Example 9 Production of Maize Transcriptome and High ThroughputCorrelation Analysis with Yield and Nue Related Parameters when GrownUnder Normal or Reduced Nitrogen Fertilization Using 60K MaizeOligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plantphenotype and gene expression level, the present inventors utilized amaize oligonucleotide micro-array, produced by Agilent Technologies[chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. Thearray oligonucleotide represents about 44,000 maize genes andtranscripts.

Correlation of Maize Hybrids Across Ecotypes Grown Under Low NitrogenConditions

Experimental Procedures

12 Maize hybrids were grown in 3 repetitive plots, in field. Maize seedswere planted and plants were grown in the field using commercialfertilization and irrigation protocols (485 metric cubes of water perdunam, 30 units of uran 21% fertilization per entire growth period) and50% of commercial fertilization for low N treatment. In order to definecorrelations between the levels of RNA expression with NUE and yieldcomponents or vigor related parameters, the 12 different maize hybridswere analyzed. Among them, 11 hybrids encompassing the observed variancewere selected for RNA expression analysis. The correlation between theRNA levels and the characterized parameters was analyzed using Pearsoncorrelation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Analyzed Maize tissues—All 11 selected maize hybrids were sampled pereach treatment (low N and normal conditions), in three time points(TP2=V6-V8 (six to eight collar leaf are visible, rapid growth phase andkernel row determination begins), TP5=R1−R2 (silking-blister), TP6=R3−R4(milk-dough). Four types of plant tissues [Ear, flag leaf indicated inTables 31-32 as leaf, grain distal part, and internode] were sampled andRNA was extracted as described above. Each micro-array expressioninformation tissue type has received a Set ID as summarized in Tables31-32 below.

TABLE 31 Maize transcriptome expression sets under normal conditionsExpression Set Set ID Maize field Normal Ear R1-R2 1 Maize field NormalGrain Distal R4-R5 2 Maize field Normal Internode R3-R4 3 Maize fieldNormal Leaf R1-R2 4 Maize field Normal Ear R3-R4 5 Maize field NormalInternode R1-R2 6 Maize field Normal Internode V6-V8 7 Maize fieldNormal Leaf V6-V8 8 Table 31: Provided are the maize transcriptomeexpression sets. Leaf = the leaf below the main ear; Internodes =internodes located above and below the main ear in the plant.

TABLE 32 Maize transcriptome expression sets under low N conditionsExpression Set Set ID Maize field Low N Ear TP5 1 Maize field Low N EarTP6 2 Maize field Low N Internodes TP2 3 Maize field Low N InternodesTP5 4 Maize field Low N Internodes TP6 5 Maize field Low N Leaf TP2 6Maize field Low N Leaf TP5 7 Maize field Low N Leaf TP6 8 Table 32.The following parameters were collected using digital imaging system:

Grain Area (cm²)—At the end of the growing period the grains wereseparated from the ear. A sample of ˜200 grains were weighted,photographed and images were processed using the below described imageprocessing system. The grain area was measured from those images and wasdivided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period thegrains were separated from the ear. A sample of ˜200 grains wereweighted, photographed and images were processed using the belowdescribed image processing system. The sum of grain lengths/or width(longest axis) was measured from those images and was divided by thenumber of grains.

Ear Area (cm²)—At the end of the growing period 5 ears were,photographed and images were processed using the below described imageprocessing system. The Ear area was measured from those images and wasdivided by the number of Ears.

Ear Length and Ear Width (cm)—At the end of the growing period 5 earswere, photographed and images were processed using the below describedimage processing system. The Ear length and width (longest axis) wasmeasured from those images and was divided by the number of ears.

The image processing system was used, which consists of a personaldesktop computer (Intel P4 3.0 GHz processor) and a public domainprogram—ImageJ 1.37, Java based image processing software, which wasdeveloped at the U.S. National Institutes of Health and is freelyavailable on the internet at rsbweb (dot) nih (dot) gov/. Images werecaptured in resolution of 10 Mega Pixels (3888×2592 pixels) and storedin a low compression JPEG (Joint Photographic Experts Group standard)format. Next, image processing output data for seed area and seed lengthwas saved to text files and analyzed using the JMP statistical analysissoftware (SAS institute).

The following parameters were collected were collected either bysampling 6 plants per plot or by measuring the parameter across all theplants within the plot.

Seed yield per plant (Kg.)—At the end of the experiment all ears fromplots within blocks A-C were collected. 6 ears were separately threshedand grains were weighted, all additional ears were threshed together andweighted as well. The average grain weight per ear was calculated bydividing the total grain weight by number of total ears per plot (basedon plot). In case of 6 ears, the total grains weight of 6 ears wasdivided by 6.

Ear weight per plot (gr.)—At the end of the experiment (when ears wereharvested) total and 6 selected ears per plots within blocks werecollected separately. The plants with (total and 6) were weighted (gr.)separately and the average ear per plant was calculated for Ear weightper plot (total of 42 plants per plot).

Plant height and Ear height—Plants were characterized for height atharvesting. In each measure, 6 plants were measured for their heightusing a measuring tape. Height was measured from ground level to top ofthe plant below the tassel. Ear height was measured from the groundlevel to the place were the main ear is located

Leaf number per plant—Plants were characterized for leaf number duringgrowing period at 5 time points. In each measure, plants were measuredfor their leaf number by counting all the leaves of 3 selected plantsper plot.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502chlorophyll meter and measurement was performed 64 days post sowing.SPAD meter readings were done on young fully developed leaf. Sevenmeasurements per leaf were taken per plot. Data were taken after onceper weeks after sowing.

Dry weight per plant—At the end of the experiment (when Inflorescencewere dry) all vegetative material from plots within blocks A-C werecollected.

Dry weight=total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours;

Ear length of Filled Ear [cm]—it was calculated as the length of the earwith grains out of the total ear.

Ear length and width [cm]—it was calculated as the length and width ofthe ear in the filled. Measurement was performed in 6 plants per eachplot.

Kernel Row Number per Ear—The number of rows in each ear was counted.

Stalk width [cm]—The diameter of the stalk was measured in the internodelocated below the main ear. Measurement was performed in 6 plants pereach plot.

Leaf area index [LAI]—total leaf area of all plants in a plot.Measurement was performed using a Leaf area-meter.

NUE [kg/kg]—is the ratio between total grain yield per total N appliedin soil.

NUpE [kg/kg]—is the ratio between total plant biomass per total Napplied in soil.

Yield/stalk width [kg/cm]—is the ratio between total grain yields andthe width of the stalk.

Yield/LAI [kg]—is the ratio between total grain yields and total leafarea index.

Experimental Results

11 different maize hybrids were grown and characterized for differentparameters. Tables 33-34 describe the Maize correlated parameters. Theaverage for each of the measured parameters (Tables 35-36) wascalculated using the JMP software and a subsequent correlation analysiswas performed (Tables 37-38). Results were then integrated to thedatabase.

TABLE 33 Maize correlated parameters (vectors) under normal conditionsCorrelation Correlated parameter with ID Normal-Final Plant DW [kg] 1Normal-Ear Length [cm] 2 Normal-Ear length of filled area [cm] 3Normal-Ear width [mm] 4 Normal-Final Leaf Number 5 Normal-Final Main EarHeight [cm] 6 Normal-Final Plant Height [cm] 7 Normal-Leaf No TP5 8Normal-Leaf No TP2 9 Normal-Leaf No TP3 10 Normal-Leaf No TP4 11Normal-No of rows per ear 12 Normal-Plant Height TP4 [cm] 13Normal-Plant Height TP5 [cm] 14 Normal-Plant Height TP1 [cm] 15Normal-Plant Height TP2 [cm] 16 Normal-Plant Height TP3 [cm] 17Normal-SPAD TP6 R1-2 18 Normal-SPAD TP3 19 Normal-SPAD TP4 Most of thePlants at flowering 20 Normal-SPAD TP5 21 Normal-SPAD TP1 22 Normal-SPADTP2 23 Normal-SPAD TP7 R3-R4 24 Normal-SPAD TP8 R3-R4 25 Normal-Stalkwidth TP7 [cm] 26 Normal-Ear weight per plot (42 plants per plot) 27[0-RH] [kg] Normal-LAI 28 Normal-NUE yield kg/N applied in soil kg 29Normal-NUE at early grain filling [R1-R2] yield 30 Kg/N in plant SPADNormal-NUE at grain filling [R3-R4] yield Kg/ N 31 in plant SPADNormal-NUpE [biomass/N applied] 32 Normal-Seed yield per dunam [kg] 33Normal-Yield/LAI 34 Normal-Yield/stalk width 35 Normal-seed yield per 1plant rest of the plot 36 [0-RH] [kg] Table 33. “cm” = centimeters’ “mm”= millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4:Chlorophyll level after early and late stages of grain filling; “NUE” =nitrogen use efficiency; “NUE” = nitrogen uptake efficiency; “LAI” =leafarea; “N” = nitrogen; Low N = under low Nitrogen conditions; “Normal” =under normal conditions; “dunam” = 1000 m². “TP” = time point.

TABLE 34 Maize correlated parameters (vectors) under low N conditionsCorrelation Correlated parameter with ID Low N-Ear Length [cm] 1 LowN-Ear length of filled area [cm] 2 Low N-Ear width [mm] 3 Low N-FinalLeaf Number 4 Low N-Final Main Ear Height [cm] 5 Low N-Final PlantHeight [cm] 6 Low N-Leaf No TP5 7 Low N-Leaf No TP1 8 Low N-Leaf No TP29 Low N-Leaf No TP3 10 Low N-Leaf No TP4 11 Low N-No of rows per ear 12Low N-Plant Height TP4 [cm] 13 Low N-Plant Height TP5 [cm] 14 LowN-Plant Height TP1 [cm] 15 Low N-Plant Height TP2 [cm] 16 Low N-PlantHeight TP3 [cm] 17 Low N-SPAD TP6 R1-2 18 Low N-SPAD TP3 19 Low N-SPADTP4 Most of the Plants at flowering 20 Low N-SPAD TP5 21 Low N-SPAD TP122 Low N-SPAD TP2 23 Low N-SPAD TP8 R3-R4 24 Low N-Stalk width TP7 [cm]25 Low N-Ear weight per plot (42 plants per plot) [0-RH] 26 Low N-FinalPlant DW [kg] 27 Low N-LAI 28 Low N-NUE yield kg/N applied in soil kg 29Low N-NUE at early grain filling [R1-R2] yield Kg/N 30 in plant SPAD LowN-NUE at grain filling [R3-R4] yield Kg/N 31 in plant SPAD Low N-NUpE[biomass/N applied] 32 Low N-Seed yield per dunam [kg] 33 LowN-Yield/LAI 34 Low N-Yield/stalk width 35 Low N-seed yield per 1 plantrest of the plot [0-RH] [kg] 36 Table 34. Provided are the values ofeach of the parameters (as described above) measured in maize accessions(Seed ID) under low nitrogen fertilization. Growth conditions arespecified in the experimental procedure section. “TP” = time point.

TABLE 35 Measured parameters in Maize accessions under normalfertilization Cor. ID/L L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11  11.3 1.3 1.3 1.5 1.3 1.6 1.4 1.4 11.4 1.7 0.4  2 19.9 20.2 18.1 19.9 19.517.7 17.7 17.3 20.5 17.5 19.9  3 16.2 17.5 17.7 18.4 15.7 14.7 12.9 14.018.8 12.3 16.1  4 51.1 46.3 45.9 47.6 51.4 47.4 47.3 46.8 49.3 48.3 41.8 5 11.8 11.1 13.3 11.8 11.9 12.3 12.4 12.2 12.6 11.7 9.3  6 130.3 122.3127.7 113.0 135.3 94.3 120.9 107.7 112.5 139.7 60.4  7 273.5 260.5 288.0238.5 286.9 224.8 264.4 251.6 278.4 279.0 163.8  8 12.4 12.8 14.2 13.412.8 14.0 13.3 14.3 14.6 12.8 11.6  9 7.3 8.8 9.5 8.9 7.1 10.1 9.2 9.79.2 7.4 8.9 10 8.4 10.3 10.8 10.4 7.9 11.8 10.8 11.5 11.3 8.7 10.6 119.4 11.1 11.8 11.3 9.0 11.4 11.2 11.8 12.0 9.3 10.8 12 16.1 14.7 15.415.9 16.2 15.2 16.0 14.8 15.4 17.7 14.3 13 74.3 33.4 75.8 55.9 72.3 58.162.2 58.7 51.6 75.7 64.3 14 100.9 168.5 182.7 159.7 102.3 173.5 156.7185.2 178.2 121.9 152.8 15 27.0 70.7 70.3 67.5 23.8 63.2 59.4 65.1 58.725.1 61.2 16 10.6 24.4 25.1 25.8 8.7 34.2 21.2 24.5 22.4 9.1 24.4 1719.8 45.3 48.0 45.7 16.9 44.9 38.8 48.6 45.4 17.9 40.9 18 56.9 57.2 59.361.6 58.6 61.2 60.2 61.1 62.2 57.5 52.0 19 60.3 55.8 60.3 58.6 60.4 53.756.2 55.2 52.8 57.3 57.2 20 54.6 57.2 56.0 58.7 54.8 59.1 58.0 60.4 61.153.3 51.4 21 50.6 55.7 53.2 58.0 51.7 58.7 55.9 56.8 59.7 51.1 51.8 2249.6 48.4 45.7 49.8 48.3 48.2 45.4 47.9 46.2 48.9 42.4 23 50.9 46.7 43.750.5 51.0 49.0 46.5 46.7 49.4 50.9 45.9 24 59.9 60.9 56.9 58.7 58.7 63.259.8 62.4 61.9 57.2 49.3 25 2.9 2.6 2.7 2.9 2.7 2.6 2.9 2.7 2.8 2.7 2.326 5.7 7.8 7.6 7.1 5.1 7.9 7.5 8.0 7.7 5.3 7.1 27 8.9 7.0 7.5 8.0 8.55.6 6.1 6.7 8.4 8.2 1.9 29 4.5 3.6 4.0 4.2 4.0 3.1 3.3 3.5 4.6 4.1 1.030 23.4 19.1 20.3 20.7 20.5 15.4 16.4 17.2 22.0 21.0 5.7 31 25.0 17.820.3 20.0 19.0 13.9 16.2 17.2 21.0 21.5 5.5 32 0.0 0.0 0.0 0.0 0.0 0.00.0 0.0 0.1 0.0 0.0 33 1335.6 1087.1 1202.5 1271.2 1203.0 937.1 985.91050.1 1365.3 1226.1 300.9 35 456.7 412.4 443.4 438.7 446.7 357.0 337.5385.8 481.9 471.6 139.7 36 0.2 0.1 0.2 0.2 0.2 0.1 0.1 0.1 0.2 0.2 0.028 3.2 3.9 3.3 4.0 3.9 4.2 4.0 4.3 2.9 4.3 34 426.1 313.0 307.3 362.4314.1 224.6 266.4 261.7 482.3

TABLE 36 Measured parameters in Maize accessions under low Nitrogenfertilization Cor. ID/L L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11  120.6 21.0 20.2 20.1 20.1 18.5 19.1 18.3 20.1 17.8 21.3  2 18.4 18.4 19.818.8 16.2 16.0 15.3 15.7 16.8 14.1 19.6  3 46.7 48.2 48.3 49.9 52.9 47.449.6 48.6 52.4 42.6 50.0  4 15.0 11.6 13.5 11.6 11.8 11.9 12.6 11.7 12.49.3 13.2  5 158.1 136.2 128.4 133.1 137.8 99.6 130.2 114.6 143.9 61.6114.4  6 305.8 270.9 290.6 252.2 260.2 227.2 271.7 248.6 279.3 171.3269.8  7 12.7 12.4 14.4 13.1 12.2 14.3 13.6 14.9 11.6 11.7 14.9  8 6.57.9 7.7 7.2 5.0 8.6 7.5 8.4 5.2 7.4 7.8  9 8.2 8.3 8.6 8.2 7.6 10.4 8.18.6 6.6 8.1 8.8 10 9.7 10.3 10.4 10.4 7.9 11.2 10.1 11.6 7.7 10.4 10.911 11.2 11.6 12.1 11.5 8.9 11.8 11.4 12.3 8.9 11.1 12.1 12 14.2 15.215.0 15.7 16.0 15.9 15.6 14.5 16.4 14.4 15.7 13 71.5 75.6 59.7 68.3 69.048.8 72.7 79.5 65.5 42.6 68.6 14 132.9 193.7 183.8 162.6 96.8 177.6161.6 191.7 94.5 170.1 184.6 15 34.5 72.9 70.5 65.6 21.2 60.4 58.4 67.521.3 64.3 60.4 16 16.2 24.5 23.4 24.1 8.9 22.2 20.7 23.6 8.1 24.0 22.617 30.1 49.2 47.3 46.4 19.8 46.2 38.1 52.6 15.6 43.1 44.7 18 60.2 57.958.8 59.5 58.5 64.0 56.4 60.0 58.3 53.1 61.7 19 52.4 55.4 56.1 58.7 53.753.7 56.7 60.1 54.9 52.8 57.8 20 54.0 56.4 56.8 59.8 53.9 60.2 57.8 60.153.5 51.5 59.9 21 53.8 55.0 52.7 56.6 50.4 59.1 56.1 58.4 50.5 51.3 56.422 52.6 48.1 43.4 47.0 47.0 49.8 49.0 50.0 49.7 44.3 61.3 23 55.8 46.745.4 48.8 48.6 50.9 47.2 47.9 51.2 45.5 49.0 24 59.3 57.6 58.4 59.2 58.262.7 61.0 59.9 57.5 49.6 61.9 25 2.8 2.4 2.7 2.8 2.7 2.6 3.0 2.6 2.7 2.32.8 26 6.6 8.0 9.6 9.2 7.6 7.2 7.9 29.0 7.8 2.4 9.8 27 1.6 1.4 1.5 2.01.5 1.6 1.6 1.3 1.5 0.4 1.5 29 7.2 8.4 10.3 10.0 7.6 7.7 8.0 8.3 7.6 2.610.6 30 18.0 21.8 26.3 25.1 19.5 18.0 21.4 20.8 19.7 7.2 25.7 31 18.421.9 26.5 25.3 19.7 18.5 19.8 20.9 19.9 7.7 25.9 32 0.0 0.0 0.0 0.0 0.00.0 0.0 0.0 0.0 0.0 0.0 33 1083.7 1261.6 1549.2 1497.9 1143.9 1159.31207.4 1250.1 1146.0 383.2 1589.9 35 416.5 528.4 583.5 541.0 428.1 444.3407.2 477.4 445.6 167.9 562.3 36 0.1 0.2 0.2 0.2 0.1 0.1 0.2 0.2 0.1 0.00.2 28 2.9 3.2 3.3 2.9 2.8 3.8 3.5 5.0 3.2 34 341.5 408.1 464.8 522.3439.5 312.6 345.9 287.7 501.2 Table 36: Provided are the values of eachof the parameters (as described above) measured in maize accessions(Seed ID) under low nitrogen fertilization. Growth conditions arespecified in the experimental procedure section.

TABLE 37 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal fertilization conditions across maizeaccessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set IDName R P value set Set ID LAB290H0 0.719 1.07E−01 1 28 LAB290_H0 0.7111.13E−01 5 20 LAB290_H0 0.803 5.43E−02 5 32 LAB290_H0 0.904 1.35E−02 5 8 LAB290_H0 0.752 8.49E−02 5 17 LAB290_H0 0.763 7.74E−02 5 14 LAB290_H00.803 5.43E−02 5  1 LAB290_H0 0.712 1.13E−01 5 18 LAB290_H0 0.7677.51E−02 5 11 LAB290_H0 0.815 2.56E−02 4 16 LAB290_H0 0.747 3.33E−02 322 LAB290_H0 0.838 1.86E−02 6 20 LAB290_H0 0.766 4.48E−02 6 22 LAB290_H00.847 1.62E−02 6 21 LAB290_H0 0.854 1.44E−02 6 24 LAB290_H0 0.7127.27E−02 6  8 LAB290_H0 0.759 4.79E−02 6 16 LAB290_H0 0.770 4.27E−02 6 4 LAB290_H0 0.715 7.10E−02 6 10 LAB290_H0 0.734 6.06E−02 6  9 LAB290_H00.875 9.83E−03 6 18 LYM213 0.796 5.83E−02 5  5 LYM213 0.750 8.56E−02 517 LYM213 0.742 9.11E−02 5 14 LYM213 0.782 6.62E−02 5 15 LYM213 0.7353.78E−02 2 20 LYM213 0.719 4.43E−02 2  8 LYM213 0.785 2.09E−02 2 18LYM213 0.717 1.97E−02 8  3 WNU104 0.912 4.19E−03 1 26 WNU104 0.8232.30E−02 1 14 WNU104 0.758 4.81E−02 1  9 WNU104 0.943 4.71E−03 5 28WNU104 0.778 6.87E−02 5 24 WNU104 0.715 1.10E−01 5  9 WNU104 0.7353.79E−02 2  4 WNU104 0.702 7.87E−02 4 24 WNU104 0.964 4.62E−04 4 26WNU104 0.857 1.37E−02 4 14 WNU104 0.802 1.67E−02 3 25 WNU104 0.8381.85E−02 6 26 WNU104 0.840 1.79E−02 6 14 WNU104 0.746 2.11E−02 7  3WNU75 0.827 2.18E−02 1  3 WNU75 0.730 9.93E−02 1 34 WNU75 0.762 2.81E−022  5 WNU75 0.834 2.70E−03 8 25 WNU75 0.707 2.22E−02 8  4 WNU75 0.8915.34E−04 8 12 WNU75 0.801 3.03E−02 4 25 WNU75 0.788 3.53E−02 4  3 WNU750.784 3.69E−02 4 33 WNU75 0.751 5.17E−02 4 35 WNU75 0.784 3.70E−02 4 27WNU75 0.788 3.53E−02 4 30 WNU75 0.784 3.69E−02 4 29 WNU75 0.774 4.12E−024 31 WNU75 0.738 5.83E−02 4  6 WNU75 0.869 1.11E−02 4 12 WNU75 0.7843.69E−02 4 36 WNU75 0.855 1.42E−02 6 22 WNU75 0.721 6.77E−02 6 25 WNU750.768 4.37E−02 6 12 WNU76 0.897 6.14E−03 1  7 WNU76 0.827 2.18E−02 1 20WNU76 0.745 5.49E−02 1 22 WNU76 0.818 2.47E−02 1 25 WNU76 0.824 2.27E−021 21 WNU76 0.763 4.60E−02 1 24 WNU76 0.800 3.07E−02 1 33 WNU76 0.7853.65E−02 1 35 WNU76 0.805 2.88E−02 1 27 WNU76 0.800 3.07E−02 1 30 WNU760.800 3.07E−02 1 29 WNU76 0.862 1.26E−02 1  4 WNU76 0.837 1.88E−02 1 31WNU76 0.861 1.28E−02 1  6 WNU76 0.800 3.07E−02 1 36 WNU76 0.713 7.19E−021 18 WNU76 0.725 1.03E−01 5 24 WNU76 0.834 3.92E−02 5 23 WNU76 0.7553.05E−02 2  4 WNU76 0.778 3.95E−02 4  7 WNU76 0.750 5.20E−02 4 20 WNU760.779 3.92E−02 4 24 WNU76 0.701 7.90E−02 4 33 WNU76 0.733 6.08E−02 4 26WNU76 0.731 6.19E−02 4 35 WNU76 0.723 6.62E−02 4 27 WNU76 0.713 7.19E−024 30 WNU76 0.701 7.90E−02 4 29 WNU76 0.852 1.49E−02 4 17 WNU76 0.7286.38E−02 4 31 WNU76 0.761 4.68E−02 4  6 WNU76 0.789 3.47E−02 4 14 WNU760.701 7.90E−02 4 36 WNU76 0.915 3.91E−03 6 20 WNU76 0.853 1.46E−02 6 22WNU76 0.795 3.28E−02 6 25 WNU76 0.916 3.72E−03 6 21 WNU76 0.902 5.42E−036 24 WNU76 0.714 7.17E−02 6  3 WNU76 0.753 5.06E−02 6 33 WNU76 0.7117.34E−02 6 23 WNU76 0.746 5.43E−02 6 35 WNU76 0.750 5.24E−02 6 27 WNU760.739 5.75E−02 6 30 WNU76 0.753 5.06E−02 6 29 WNU76 0.900 5.70E−03 6  4WNU76 0.769 4.31E−02 6 31 WNU76 0.876 9.66E−03 6 12 WNU76 0.753 5.06E−026 36 WNU76 0.813 2.62E−02 6 18 WNU76 0.774 1.43E−02 7 25 WNU76 0.7511.96E−02 7 24 WNU76 0.796 1.03E−02 7  8 WNU76 0.746 2.10E−02 7  5 WNU780.753 3.11E−02 2 13 WNU78 0.716 3.02E−02 8 28 WNU78 0.840 1.79E−02 4 15WNU78 0.833 1.99E−02 6 23 WNU80 0.841 3.57E−02 1 28 WNU80 0.835 1.94E−021 22 WNU80 0.900 5.80E−03 1 26 WNU80 0.803 2.96E−02 1 17 WNU80 0.7525.13E−02 1 10 WNU80 0.784 3.71E−02 1 14 WNU80 0.881 8.88E−03 1  9 WNU800.800 5.60E−02 5 28 WNU80 0.835 9.95E−03 2  8 WNU80 0.717 4.51E−02 2 26WNU80 0.846 8.07E−03 2  5 WNU80 0.755 3.05E−02 2 10 WNU80 0.766 2.68E−022 14 WNU80 0.778 2.31E−02 2  9 WNU80 0.727 4.12E−02 2 11 WNU80 0.8946.56E−03 4 16 WNU80 0.850 1.54E−02 4 10 WNU80 0.861 1.27E−02 4  9 WNU800.736 3.74E−02 3 22 WNU80 0.790 6.15E−02 6 28 WNU80 0.765 4.49E−02 6  7WNU80 0.702 7.89E−02 6 25 WNU80 0.717 7.00E−02 6 33 WNU80 0.867 1.16E−026  8 WNU80 0.725 6.54E−02 6 26 WNU80 0.733 6.08E−02 6 35 WNU80 0.8691.12E−02 6 16 WNU80 0.713 7.22E−02 6 27 WNU80 0.913 4.13E−03 6  5 WNU800.705 7.67E−02 6 30 WNU80 0.717 7.00E−02 6 29 WNU80 0.970 3.02E−04 6 17WNU80 0.742 5.64E−02 6 31 WNU80 0.739 5.78E−02 6  6 WNU80 0.860 1.30E−026 14 WNU80 0.717 7.00E−02 6 36 WNU80 0.797 3.19E−02 6  9 WNU80 0.7754.06E−02 6 18 WNU80 0.783 3.74E−02 6 11 WNU80 0.791 1.94E−02 7 28 WNU810.775 4.08E−02 1 16 WNU81 0.734 6.04E−02 1 10 WNU81 0.886 7.94E−03 1  9WNU81 0.787 6.29E−02 5 12 WNU81 0.866 5.47E−03 2 24 WNU81 0.829 2.11E−024 16 WNU82 0.778 3.96E−02 1 13 WNU82 0.906 1.29E−02 5 25 WNU82 0.8304.08E−02 5 12 WNU82 0.732 3.90E−02 2 23 WNU82 0.809 1.50E−02 2  4 WNU820.889 1.77E−02 6 28 WNU83 0.716 1.10E−01 5  5 WNU83 0.729 4.03E−02 2 12WNU83 0.704 5.11E−02 2  9 WNU83 0.710 4.87E−02 2 11 Table 37. “Corr.ID”— correlation set ID according to the correlated parameters Tableabove. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient;“P” =p value.

TABLE 38 Correlation between the expression level of WNU selected genesof some embodiments of the invention in various tissues and thephenotypic performance under low nitrogen fertilization conditionsacross maize accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value setSet ID Name R P value set Set ID LAB290_H0 0.831 5.55E−03 5 23 LAB290_H00.741 9.19E−02 6 28 LAB290_H0 0.745 8.94E−02 6 20 LAB290_H0 0.7271.02E−01 6 19 LAB290_H0 0.702 1.20E−01 6 21 LAB290_H0 0.849 3.23E−02 613 LAB290_H0 0.728 1.01E−01 6 26 LAB290_H0 0.773 4.17E−02 7 28 LAB290_H00.784 2.13E−02 7  8 LAB290_H0 0.701 5.29E−02 7 17 LAB290_H0 0.8161.34E−02 7 21 LAB290_H0 0.735 3.78E−02 2  8 LAB290_H0 0.889 7.43E−03 416 LAB290_H0 0.720 6.80E−02 4 18 LYM213 0.758 8.05E−02 6  3 LYM213 0.8134.94E−02 6 22 LYM213 0.887 7.81E−03 2 28 LYM213 0.794 3.30E−02 4 25LYM213 0.805 2.88E−02 4  3 WNU104 0.702 1.20E−01 1 28 WNU104 0.9312.31E−03 1  8 WNU104 0.725 6.54E−02 1 21 WNU104 0.733 6.08E−02 1  7WNU104 0.758 4.84E−02 1 18 WNU104 0.958 6.89E−04 1  9 WNU104 0.7087.53E−02 1 23 WNU104 0.876 9.64E−03 1 10 WNU104 0.850 7.54E−03 5 28WNU104 0.736 2.37E−02 5 26 WNU104 0.808 5.19E−02 6 11 WNU104 0.7031.19E−01 6  5 WNU104 0.806 5.28E−02 6 34 WNU104 0.702 1.20E−01 6  2WNU104 0.801 5.57E−02 6  1 WNU104 0.857 2.91E−02 6 18 WNU104 0.7935.96E−02 6  9 WNU104 0.854 3.03E−02 6  6 WNU104 0.718 1.08E−01 6 30WNU104 0.704 2.31E−02 3  8 WNU104 0.833 2.75E−03 3 20 WNU104 0.7857.18E−03 3  7 WNU104 0.731 1.64E−02 3  9 WNU104 0.765 4.52E−02 2 28WNU104 0.861 6.01E−03 2 21 WNU104 0.706 5.03E−02 2  9 WNU104 0.7545.00E−02 4 20 WNU104 0.722 6.71E−02 4 24 WNU104 0.896 6.38E−03 4 22WNU104 0.889 7.42E−03 4  6 WNU75 0.873 2.33E−02 1 34 WNU75 0.9135.93E−04 5 22 WNU75 0.849 3.27E−02 6 25 WNU75 0.764 1.02E−02 3 25 WNU750.767 2.65E−02 8 25 WNU75 0.794 1.86E−02 8  5 WNU75 0.888 3.23E−03 8 32WNU75 0.708 4.92E−02 8  6 WNU75 0.888 3.23E−03 8 27 WNU75 0.758 4.84E−024 13 WNU76 0.704 7.77E−02 1 33 WNU76 0.704 7.77E−02 1 29 WNU76 0.9481.16E−03 1 20 WNU76 0.821 2.36E−02 1 35 WNU76 0.881 8.79E−03 1 21 WNU760.905 5.11E−03 1  2 WNU76 0.879 9.10E−03 1  1 WNU76 0.704 7.77E−02 1 36WNU76 0.740 5.72E−02 1 31 WNU76 0.883 8.35E−03 1 24 WNU76 0.839 1.83E−021 32 WNU76 0.726 6.45E−02 1  3 WNU76 0.927 2.63E−03 1 18 WNU76 0.7365.95E−02 1 15 WNU76 0.731 6.21E−02 1 12 WNU76 0.858 1.34E−02 1 23 WNU760.839 1.83E−02 1 27 WNU76 0.744 2.17E−02 5 25 WNU76 0.815 7.50E−03 5 22WNU76 0.733 9.71E−02 6 33 WNU76 0.884 1.95E−02 6 25 WNU76 0.733 9.71E−026 29 WNU76 0.843 3.49E−02 6 34 WNU76 0.777 6.89E−02 6  2 WNU76 0.7339.71E−02 6 36 WNU76 0.806 5.26E−02 6  4 WNU76 0.776 6.96E−02 6  3 WNU760.716 1.98E−02 3 25 WNU76 0.872 4.76E−03 8 25 WNU76 0.776 2.36E−02 8  4WNU76 0.817 1.33E−02 8 22 WNU76 0.770 2.53E−02 2 25 WNU76 0.811 1.46E−022  5 WNU76 0.704 5.15E−02 2 13 WNU76 0.716 4.56E−02 2 24 WNU76 0.7264.14E−02 2 32 WNU76 0.859 6.33E−03 2  4 WNU76 0.740 3.59E−02 2 18 WNU760.773 2.45E−02 2  6 WNU76 0.833 1.02E−02 2 23 WNU76 0.726 4.14E−02 2 27WNU76 0.701 7.91E−02 4 33 WNU76 0.701 7.91E−02 4 29 WNU76 0.878 9.34E−034 35 WNU76 0.814 2.60E−02 4 16 WNU76 0.773 4.17E−02 4  2 WNU76 0.7017.91E−02 4 36 WNU76 0.777 4.00E−02 4 31 WNU77 0.808 2.80E−02 1  5 WNU770.852 1.49E−02 1  1 WNU77 0.839 1.82E−02 1  7 WNU77 0.825 2.23E−02 1  6WNU77 0.782 1.27E−02 5 22 WNU77 0.818 4.66E−02 6 13 WNU77 0.810 4.46E−033 25 WNU77 0.763 4.59E−02 7 28 WNU77 0.810 1.49E−02 2 25 WNU77 0.7294.01E−02 2 20 WNU77 0.867 5.28E−03 2 21 WNU77 0.891 2.99E−03 2 24 WNU770.719 4.42E−02 2  3 WNU77 0.714 4.65E−02 2 18 WNU77 0.753 5.08E−02 4 16WNU78 0.874 2.07E−03 5 25 WNU78 0.827 4.21E−02 6 25 WNU78 0.794 5.93E−026  3 WNU78 0.769 2.57E−02 8 25 WNU78 0.714 4.68E−02 7 25 WNU80 0.8692.46E−02 1 28 WNU80 0.719 6.85E−02 1 33 WNU80 0.837 1.88E−02 1 11 WNU800.749 5.25E−02 1  5 WNU80 0.719 6.85E−02 1 29 WNU80 0.831 2.06E−02 1 14WNU80 0.896 6.27E−03 1 20 WNU80 0.776 4.01E−02 1 35 WNU80 0.826 2.21E−021 21 WNU80 0.719 6.85E−02 1 36 WNU80 0.885 8.17E−03 1 24 WNU80 0.9035.41E−03 1  4 WNU80 0.755 4.96E−02 1  3 WNU80 0.894 6.70E−03 1  7 WNU800.853 1.48E−02 1 18 WNU80 0.783 3.75E−02 1 26 WNU80 0.869 1.12E−02 1  6WNU80 0.728 6.39E−02 1 30 WNU80 0.721 2.83E−02 5 33 WNU80 0.931 2.64E−045 11 WNU80 0.721 2.83E−02 5 29 WNU80 0.712 3.15E−02 5 20 WNU80 0.7591.77E−02 5 35 WNU80 0.759 1.77E−02 5 19 WNU80 0.721 2.83E−02 5 36 WNU800.726 2.68E−02 5 31 WNU80 0.806 8.74E−03 5  7 WNU80 0.710 3.21E−02 5  9WNU80 0.807 8.58E−03 5 26 WNU80 0.703 3.46E−02 5 30 WNU80 0.719 2.91E−025 10 WNU80 0.938 5.64E−03 6 28 WNU80 0.934 6.37E−03 6  8 WNU80 0.7419.22E−02 6 21 WNU80 0.734 9.64E−02 6  9 WNU80 0.723 1.04E−01 6 26 WNU800.730 9.93E−02 6 10 WNU80 0.725 1.76E−02 3 26 WNU80 0.857 1.37E−02 8 28WNU80 0.884 3.61E−03 8  8 WNU80 0.728 4.07E−02 8 17 WNU80 0.775 2.38E−028 21 WNU80 0.790 1.98E−02 8 18 WNU80 0.944 4.18E−04 8  9 WNU80 0.7244.22E−02 8 26 WNU80 0.783 2.16E−02 8 10 WNU80 0.924 2.90E−03 7 28 WNU800.874 4.53E−03 7  8 WNU80 0.711 4.80E−02 7 17 WNU80 0.722 4.30E−02 7  9WNU80 0.862 1.14E−02 7 26 WNU80 0.876 4.33E−03 7 10 WNU80 0.721 4.36E−022 24 WNU80 0.800 1.71E−02 2 32 WNU80 0.800 1.71E−02 2 27 WNU80 0.8917.02E−03 4 28 WNU80 0.779 3.88E−02 4  8 WNU80 0.791 3.43E−02 4 21 WNU800.796 3.21E−02 4 26 WNU80 0.915 3.89E−03 4 10 WNU81 0.746 5.41E−02 1 11WNU81 0.886 7.99E−03 1 17 WNU81 0.712 7.25E−02 1  1 WNU81 0.765 4.51E−021 10 WNU81 0.953 3.26E−03 6 33 WNU81 0.740 9.24E−02 6  5 WNU81 0.9533.26E−03 6 29 WNU81 0.837 3.75E−02 6 35 WNU81 0.915 1.06E−02 6 34 WNU810.858 2.87E−02 6  2 WNU81 0.819 4.60E−02 6  1 WNU81 0.953 3.26E−03 6 36WNU81 0.960 2.42E−03 6 31 WNU81 0.745 8.91E−02 6  4 WNU81 0.770 7.30E−026  6 WNU81 0.968 1.53E−03 6 30 WNU81 0.823 3.44E−03 3  3 WNU81 0.7503.20E−02 7  1 WNU81 0.708 7.53E−02 4 21 WNU81 0.825 2.25E−02 4 24 WNU810.723 6.62E−02 4  9 WNU82 0.792 3.38E−02 1 19 WNU82 0.707 7.59E−02 1 13WNU82 0.767 4.42E−02 1 26 WNU82 0.840 4.64E−03 5 22 WNU82 0.719 1.07E−016  5 WNU82 0.849 1.89E−03 3 25 WNU82 0.771 4.54E−02 8  5 WNU82 0.7572.98E−02 2 25 WNU82 0.803 1.63E−02 2  3 WNU82 0.709 4.89E−02 2 12 WNU830.928 7.54E−03 6  5 WNU83 0.854 3.04E−02 6  6 WNU83 0.818 2.44E−02 4 28WNU83 0.812 2.66E−02 4  5 WNU83 0.708 7.51E−02 4 20 WNU83 0.700 7.98E−024 21 WNU83 0.812 2.64E−02 4 26 WNU83 0.704 7.74E−02 4  6 WNU83 0.8631.24E−02 4 10 Table 38. “Corr. ID”— correlation set ID according to thecorrelated parameters Table above. “Exp. Set”—Expression set. “R” =Pearson correlation coefficient; “P” = p value.

Example 10 Production of Maize 60K Transcriptome OligonucleotideMicro-Arrays

Genes Under Differential Display Associating with Agronomical NitrogenUse Efficiency

Two maize commercial hybrids and 2 maize inbred lines were grown in 5repetitive plots in the field under six different N fertilizationregimes. Maize seeds were planted and plants were grown in the fieldusing commercial fertilization and irrigation protocols (485 cubicmeters of irrigation per dunam, 30 units of 21% uran (N fertilization)per entire growth period-Normal conditions 100% Nitrogen). In addition,the rest of 5 Nitrogen treatments included: 140% of Normal, 50%, 30%,10% and 0%. In order to define association between the levels of RNAexpression with yield components, biomass related parameters and NUEvarious indices including Agronomical NUE, two maize hybrids and onemaize inbred line were selected for RNA expression analysis. The genesup-regulated under certain N fertilization with highest Agronomical NUEor yield or biomass parameters were considered as associated withAgronomical NUE, NUE and yield.

Analyzed Maize tissues—At total 3 maize lines were sampled at V12developmental stage (tasseling) and R3 (milky) developmental stage.Plant tissues [leaves, lower and upper internodes, flower] were sampledand RNA was extracted as described above. Each micro-array expressioninformation tissue type has received a Set ID as summarized in Table 39below.

TABLE 39 Maize transcriptome expression sets Expression Set Set IDflower: V12: 1 leaf: R3: 2 leaf: V12: 3 lower intemode: R3: 4 lowerintemode: V12: 5 upper intemode: R3: 6 upper intemode: V12: 7 Table 39:Provided are the maize transcriptome expression sets

The following parameters were collected either by sampling 6 plants perplot or by measuring the parameter across all the plants within theplot.

Grain weight (yield) per plant (kg.)—At the end of the experiment allears from plots were collected. All ears from the plot were separatelythreshed and grains were weighted, all additional ears were threshedtogether and weighted as well. The average grain weight per ear wascalculated by dividing the total grain weight by number of total earsper plot (based on plot).

Agronomical NUE (Agronomical Nitrogen Use Efficiency)—Agronomical NUEcoefficient measures the ability of plant to efficiently use the eachadditional unit of Nitrogen added as fertilizer and was calculated usingFormula XXXVI (Agronomical NUE, described above).

TABLE 40 Correlated parameters in Maize accessions throughout all Nlevels (e.g., 140%, 100%, 50%, 30%, 10% and 0%) Correlated parameterwith Correlation ID N harvest index calculated 1 Table 40. “NHI (Nharvest index)” = the ratio between total grain N and total plant N(=total shoot N + total grain N).

TABLE 41 Measured parameters in Maize accessions Corr. ID Line L-1 L-2L-3 L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 1 38.0 37.1 36.2 31.5 33.735.0 34.8 42.8 36.2 44.2 29.1 37.6

TABLE 42 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal or low nitrogen fertilization conditions acrossArabidopsis accessions Corr. Gene Name R P value Exp. set ID WNU83 0.7021.09E−02 2 1 Table 42. “Con. ID” correlation set ID according to thecorrelated parameters Table above. “Exp. Set”—Expression set. “R” =Pearson correlation coefficient; “P” = p value.

Example 11 Production of Brachypodium Transcriptome and High ThroughputCorrelation Analysis Using 60K Brachypodium Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a brachypodium oligonucleotide micro-array, produced by AgilentTechnologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 60Kbrachypodium genes and transcripts. In order to define correlationsbetween the levels of RNA expression and yield or vigor relatedparameters, various plant characteristics of 24 different brachypodiumaccessions were analyzed. Among them, 22 accessions encompassing theobserved variance were selected for RNA expression analysis andcomparative genomic hybridization (CGH) analysis.

The correlation between the RNA levels and the characterized parameterswas analyzed using Pearson correlation test [davidmlane (dot)com/hyperstat/A34739 (dot) html].

Additional correlation analysis was done by comparing plant phenotypeand gene copy number. The correlation between the normalized copy numberhybridization signal and the characterized parameters was analyzed usingPearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot)html].

Experimental Procedures

Twenty four brachypodium accessions were grown in 4-6 repetitive plots(8 plant per plot) in a green house. The growing protocol was asfollows: brachypodium seeds were sown in plots and grown under normalcondition (6 mM of Nitrogen as ammonium nitrate) or reduced N level (lowN, 35% of normal nitrogen fertilization).

Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampledand RNA was extracted as described above. Each micro-array expressioninformation tissue type has received a Set ID as summarized in Tables43-44 below.

TABLE 43 Brachypodium transcriptome expression sets under low Nconditions Expression Set Set ID flower: low N: flowering: 1 leaf: lowN: flowering: 2 Table 43. Provided are the brachypodium transcriptomeexpression sets under low N conditions.

TABLE 44 Brachypodium transcriptome expression sets under Normalconditions Expression Set Set ID leaf: flowering: normal: 1 spike:flowering: normal: 2 Table 44. Provided are the brachypodiumtranscriptome expression sets under normal conditions

Brachypodium yield components and vigor related parametersassessment—Plants were continuously phenotyped during the growth periodand at harvest (Table 45-46, below). The image analysis system includeda personal desktop computer (Intel P4 3.0 GHz processor) and a publicdomain program—ImageJ 1.37 [Java based image processing program, whichwas developed at the U.S. National Institutes of Health and freelyavailable on the internet rsbweb (dot) nih (dot) gov/]. Next, analyzeddata was saved to text files and processed using the JMP statisticalanalysis software (SAS institute).

At the end of the growing period the grains were separated from thespikes and the following parameters were measured using digital imagingsystem and collected:

No. of tillering—all tillers were counted per plant at harvest (mean perplot).

Head number—At the end of the experiment, heads were harvested from eachplot and were counted.

Total Grains weight per plot (gr.)—At the end of the experiment (plant‘Heads’) heads from plots were collected, the heads were threshed andgrains were weighted. In addition, the average grain weight per head wascalculated by dividing the total grain weight by number of total headsper plot (based on plot).

Highest number of spikelets—The highest spikelet number per head wascalculated per plant (mean per plot).

Mean number of spikelets—The mean spikelet number per head wascalculated per plot.

Plant height—Each of the plants was measured for its height usingmeasuring tape. Height was measured from ground level to spike base ofthe longest spike at harvest.

Spikelets weight (gr.)—The biomass and spikes weight of each plot wasseparated, measured per plot.

Average head weight—calculated by dividing spikelets weight with headnumber (gr.).

Harvest Index—The harvest index was calculated using Formula XXXVII(Harvest Index for brachypodium, described above).

Spikelets Index—The Spikelets index was calculated using Formula XXXI(above).

Percent number of heads with spikelets—The number of heads with morethan one spikelet per plant were counted and the percent from all headsper plant was calculated.

Total dry mater per plot—Calculated as Vegetative portion above groundplus all the spikelet dry weight per plot.

1000 grain weight—At the end of the experiment all grains from all plotswere collected and weighted and the weight of 1000 were calculated.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from thespikes and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The grain area was measured from those images and wasdivided by the number of grains.

(ii) Average Grain Length, perimeter and width (cm)—A sample of ˜200grains was weighted, photographed and images were processed using thebelow described image processing system. The sum of grain lengths andwidth (longest axis) was measured from those images and was divided bythe number of grains.

The image processing system used consisted of a personal desktopcomputer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ1.37, Java based image processing software, which was developed at theU.S. National Institutes of Health and is freely available on theinternet at rsbweb (dot) nih (dot) gov/. Images were captured inresolution of 10 Mega Pixels (3888×2592 pixels) and stored in a lowcompression JPEG (Joint Photographic Experts Group standard) format.Next, image processing output data for seed area and seed length wassaved to text files and analyzed using the JMP statistical analysissoftware (SAS institute).

Maintenance of performance under low N conditions: Expressed as ratio ofthe specific parameter under low N condition divided by Normalconditions results (maintenance of phenotype under low N in comparisonto normal conditions).

TABLE 45 Brachypodium correlated parameters under low N conditions(vectors) Correlation set Correlation ID % Number of heads withspikelets 1 1000 grain weight [gr] 2 Avr head weight [gr] 3 GrainPerimeter [mm] 4 Grain area [mm²] 5 Grains weight per plant [gr] 6Grains weight per plot [gr] 7 Harvest index 8 Heads per plant 9 Headsper plot 10 Mean number of spikelets per plot 11 Number of heads withspikelets per plant 12 Plant Vegetative DW [gr] 13 Plant height [cm] 14Spikelets DW per plant [gr] 15 Spikelets weight[gr] 16 Tillering 17Total dry mater per plant [gr] 18 Total dry mater per plot[gr] 19Vegetative DW [gr] 20 Table 45. Provided are the brachypodium correlatedparameters. “Avr” = average; “gr” = grams; “cm” = centimeter; “mm” =millimeter.

TABLE 46 Brachypodium correlated parameters under normal conditions(vectors) Correlated parameter with Correlation ID 1000 grain weight[gr] 1 Avr head weight [gr] 2 Grain Perimeter [mm] 3 Grain area [mm²] 4Grain length [mm] 5 Grain width [mm] 6 Grains weight per plant [gr] 7Grains weight per plot [gr] 8 Harvest index 9 Heads per plant 10 Headsper plot 11 Highest num of spikelets per plot 12 Mean num of spikeletsper plot 13 Num of heads with spikelets per plant 14 Percent Num ofheads with spikelets [%] 15 Plant Vegetative DW [gr] 16 Plant height[cm] 17 Plants num 18 Spikelets DW per plant [gr] 19 Spikelets weight[gr] 20 Spikes index 21 Tillering 22 Total dry mater per plant [gr] 23Total dry mater per plot [gr] 24 Vegetative DW [gr] 25 Table 46.Provided are the brachypodium correlated parameters. “Avr” = average;“gr” = grams; “cm” = centimeter; “mm” = millimeter.

Experimental Results

Twenty five different Brachypodium accessions were grown andcharacterized for different parameters as described above. The averagefor each of the measured parameter was calculated using the JMP softwareand values are summarized in Tables 47-48 below. Subsequent correlationanalysis between the various transcriptome sets and the averageparameters was conducted (Tables 53-55). Follow, results were integratedto the database.

TABLE 47 Measured parameters of correlation IDs in Brachypodiumaccessions under low N conditions Cor. ID Line L-1 L-2 L-3 L-4 L-5 L-6L-7 L-8 L-9 L-10 L-11 L-12 1 15.93 32.43 31.49 13.33 12.76 6.48 7.385.39 7.04 48.22 4.74 8.55 2 4.00 3.88 4.31 3.23 4.70 5.98 5.12 4.33 5.674.08 4.95 4.66 3 0.04 0.06 0.04 0.05 0.05 0.04 0.04 0.03 0.04 0.05 0.050.03 4 1.73 1.57 1.62 1.68 1.71 1.86 1.91 1.79 1.86 1.70 1.83 1.66 50.11 0.09 0.09 0.09 0.09 0.11 0.12 0.10 0.10 0.10 0.11 0.09 6 0.08 0.150.05 0.09 0.17 0.16 0.05 0.06 0.14 0.06 0.07 0.05 7 0.64 0.51 0.39 0.371.39 1.27 0.38 0.47 1.02 0.47 0.54 0.41 8 0.15 0.27 0.15 0.31 0.20 0.280.12 0.14 0.39 0.10 0.17 0.09 9 10.48 7.17 6.03 4.75 11.28 8.45 7.0410.93 5.80 8.09 6.56 13.00 10 81.80 26.00 48.25 19.00 90.25 67.60 53.5085.83 41.67 60.25 50.00 104.00 11 1.66 2.08 1.91 1.50 1.66 1.45 1.441.49 1.37 2.55 1.18 1.58 12 1.89 2.83 1.84 0.75 1.63 0.63 0.63 0.66 0.393.80 0.37 1.18 13 0.19 0.15 0.10 0.07 0.28 0.21 0.14 0.18 0.12 0.25 0.150.23 14 24.70 23.58 22.53 16.88 27.13 30.14 22.66 22.27 23.92 27.9722.99 25.64 15 0.37 0.45 0.25 0.23 0.57 0.34 0.26 0.29 0.25 0.41 0.300.42 16 2.90 1.39 2.04 0.91 4.59 2.70 2.02 2.31 1.83 3.07 2.29 3.34 1710.97 6.92 6.72 5.50 11.31 9.03 7.54 11.06 6.24 8.32 6.89 13.08 18 0.570.59 0.35 0.30 0.85 0.55 0.40 0.47 0.37 0.66 0.45 0.65 19 4.42 1.86 2.811.18 6.84 4.39 3.09 3.75 2.67 4.99 3.41 5.21 20 1.52 0.47 0.78 0.27 2.241.69 1.07 1.44 0.84 1.92 1.13 1.87 Correlation (Cor.) IDs: 1, 2, 3, 4,5, . . . etc. refer to those described in Table 45 above [Brachypodiumcorrelated parameters (vectors)]. The Brachypodium accession numbers areLine 12, Line 13, Line 13, etc.

TABLE 48 Measured parameters of correlation IDs in additionalbrachypodium accessions under low N conditions Cor. ID Line L-13 L-14L-15 L-16 L-17 L-18 L-19 L-20 L-21 L-22 L-23 L-24 1 10.09 10.82 39.5337.28 37.56 21.19 48.70 15.07 11.01 40.29 34.70 10.09 2 5.24 4.94 4.384.09 5.93 4.63 3.53 3.92 4.73 6.24 5.29 5.24 3 0.04 0.05 0.08 0.07 0.070.05 0.05 0.04 0.06 0.08 0.09 0.04 4 1.79 1.74 1.84 1.70 1.84 1.71 1.681.65 1.85 1.88 1.88 1.79 5 0.12 0.10 0.10 0.08 0.12 0.09 0.09 0.09 0.110.12 0.11 0.12 6 0.14 0.09 0.17 0.35 0.13 0.18 0.20 0.20 0.27 0.06 0.480.14 7 1.07 0.71 1.34 2.49 0.91 1.33 1.58 1.55 2.16 0.45 3.65 1.07 80.15 0.13 0.10 0.23 0.17 0.18 0.18 0.25 0.20 0.05 0.28 0.15 9 12.11 9.0312.23 12.80 7.95 12.20 10.73 15.81 13.22 2.38 12.16 12.11 10 93.25 69.7597.83 91.00 57.83 92.33 85.80 125.00 105.75 19.00 91.88 93.25 11 1.641.52 2.17 2.04 1.93 1.89 2.10 1.87 1.72 0.81 2.35 1.64 12 1.37 1.11 5.044.99 3.04 2.64 5.38 2.18 1.66 0.94 3.89 1.37 13 0.39 0.22 0.58 0.50 0.270.37 0.33 0.30 0.33 1.03 0.73 0.39 14 34.98 21.27 38.35 36.24 30.2328.96 34.70 21.94 29.59 21.63 41.92 34.98 15 0.53 0.47 0.98 0.92 0.540.59 0.58 0.61 0.76 0.18 1.01 0.53 16 4.10 3.56 7.87 6.56 3.92 4.41 4.674.83 6.07 1.43 7.51 4.10 17 12.21 9.42 12.48 13.74 7.99 12.74 10.8016.72 13.19 14.67 12.98 12.21 18 0.92 0.68 1.57 1.42 0.82 0.95 0.91 0.911.09 1.21 1.74 0.92 19 7.10 5.23 12.54 10.08 5.86 7.07 7.31 7.20 8.719.67 12 89 7.10 20 3.00 1.67 4.67 3.53 1.94 2.66 2.64 2.37 2.64 8.245.38 3.00 Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer tothose described in Table 45 above [Brachypodium correlated parameters(vectors)]. The Brachypodium accession numbers are Line 13, Line 14,etc.

TABLE 49 Measured parameters of correlation IDs in Brachypodiumaccessions under normal conditions Cor. ID Line L-1 L-2 L-3 L-4 L-5 L-6L-7 L-8 L-9 L-10 L-11 L-12 1 3.75 3.78 3.35 4.89 5.54 4.98 4.83 5.543.84 4.76 4.73 5.24 2 0.06 0.04 0.05 0.08 0.04 0.06 0.05 0.04 0.08 0.060.05 0.05 3 1.67 1.62 1.62 1.69 1.82 1.83 1.75 1.93 1.68 1.82 1.69 1.914 0.10 0.10 0.09 0.09 0.11 0.11 0.10 0.11 0.10 0.11 0.10 0.12 5 0.730.72 0.72 0.74 0.83 0.82 0.78 0.90 0.75 0.79 0.75 0.86 6 0.18 0.17 0.170.16 0.16 0.17 0.17 0.16 0.17 0.18 0.17 0.19 7 0.14 0.06 0.08 0.26 0.140.14 0.14 0.11 0.08 0.07 0.39 0.14 8 1.05 0.44 0.61 1.96 1.11 1.07 1.090.84 0.50 0.39 3.07 1.09 9 0.13 0.14 0.15 0.21 0.20 0.16 0.14 0.26 0.070.11 0.22 0.09 10 16.30 7.08 6.59 11.63 10.48 9.09 14.13 5.88 11.89 8.0223.75 16.06 11 121.75 56.60 52.75 83.40 82.40 70.13 110.33 47.00 81.5048.60 185.50 125.00 12 3.00 2.60 3.00 2.20 2.00 2.25 1.83 2.00 3.50 2.002.50 2.40 13 2.10 2.10 1.72 1.69 1.38 1.65 1.43 1.25 2.41 1.56 1.76 1.8314 5.27 2.50 2.06 2.08 0.71 1.94 1.08 0.35 7.59 1.87 4.98 3.70 15 27.6235.33 21.67 14.00 5.42 15.42 6.40 4.51 55.41 16.51 15.52 20.34 16 0.420.12 0.13 0.38 0.32 0.32 0.39 0.13 0.44 0.31 0.87 0.69 17 31.65 23.4422.75 31.95 34.36 28.65 28.88 24.74 31.40 29.15 37.30 45.09 18 7.50 8.008.00 7.20 7.80 7.75 7.83 8.00 6.50 6.40 7.75 8.00 19 0.96 0.31 0.33 0.880.44 0.56 0.67 0.26 0.92 0.45 1.14 0.83 20 7.18 2.50 2.68 6.42 3.45 4.295.29 2.04 6.25 2.66 8.89 6.65 21 0.71 0.72 0.73 0.71 0.58 0.66 0.64 0.660.69 0.61 0.59 0.54 22 16.84 7.20 7.00 11.97 10.67 9.38 14.58 6.35 12.388.61 25.50 16.56 23 1.38 0.43 0.47 1.25 0.76 0.88 1.06 0.38 1.36 0.762.01 1.53 24 10.26 3.45 3.74 9.12 6.00 6.78 8.34 3.04 9.21 4.47 15.7912.20 25 3.08 0.95 1.06 2.69 2.55 2.48 3.05 1.00 2.96 1.81 6.89 5.55Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to thosedescribed in Table 46 above [Brachypodium correlated parameters(vectors)]. The Brachypodium accession numbers are Line 12, Line 13,Line 13, etc.

TABLE 50 Measured parameters of correlation IDs in additionalbrachypodium accessions normal conditions Cor. ID Line L-13 L-14 L-15L-16 L-17 L-18 L-19 L-20 L-21 L-22 1  4.96  4.00  4.26  5.99  4.34  3.70 3.90  4.82  4.87  3.76 2  0.06  0.10  0.08  0.08  0.06  0.09  0.04 0.06  0.09  0.09 3  1.71  1.81  1.76  1.87  1.66  1.65  1.60  1.80 1.90  1.68 4  0.10  0.10  0.09  0.12  0.09  0.09  0.09  0.11  0.11 0.09 5  0.74  0.84  0.80  0.84  0.74  0.75  0.72  0.79  0.87  0.76 6 0.17  0.15  0.14  0.18  0.16  0.15  0.15  0.17  0.17  0.15 7  0.13 0.37  0.49  0.31  0.20  0.35  0.27  0.32  0.44  0.30 8  1.07  2.99 3.52  2.41  1.47  2.58  2.04  2.58  3.40  1.92 9  0.18  0.09  0.16 0.18  0.11  0.21  0.17  0.15  0.18  0.09 10  9.74  22.19  24.32 13.25 19.22  16.11  21.40  25.88  17.05  25.54 11 80.75 177.5  172.8  98.6 143.2  123.5  156.8  207   135   177   12  2.00  3.50  3.80  2.80  2.83 2.83  2.33  2.60  4.50  3.17 13  1.42  2.71  2.61  2.12  2.16  2.17 1.85  1.93  2.85  2.79 14  0.89  12.58  12.13  6.35  7.15  9.44  5.02 4.90  7.72  15.36 15  8.11  53.21  47.81 42.81  34.92  52.41  20.84 17.55  47.73  59.01 16  0.34  1.72  1.32  0.48  0.63  0.82  0.68  0.87 1.05  1.73 17 22.39  55.04  45.34 40.20  39.18  45.35  29.41  38.39 46.74  58.82 18  8.25  8.00  7.00  7.60  7.33  7.50  7.33  8.00  7.88 6.83 19  0.59  2.27  1.91  1.09  1.26  1.46  0.96  1.56  1.42  2.25 20 4.92  18.15  13.49  8.35  9.42  11.31  7.16  12.44  11.05  15.55 21 0.68  0.56  0.59  0.70  0.66  0.68  0.60  0.65  0.58  0.57 22 10.54 27.15  26.30 13.56  20.79  16.99  23.61  27.20  18.25  29.09 23  0.94 3.99  3.23  1.57  1.89  2.28  1.63  2.43  2.47  3.98 24  7.76  31.94 22.78 12.04  14.14  17.78  12.29  19.40  19.27  27.67 25  2.84  13.80 9.28  3.70  4.72  6.47  5.13  6.96  8.23  12.12 Correlation (Cor.) IDs:1, 2, 3, 4, 5, . . . etc. refer to those described in Table 46 above[Brachypodium correlated parameters (vectors)]. The Brachypodiumaccession numbers are Line 12, Line 13, Line 13, etc.

TABLE 51 Measured parameters of correlation IDs in Brachypodiumaccessions under low N vs. normal conditions Cor. ID Line L-1 L-2 L-3L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 1 0.58 0.89 0.62 0.91 1.19 0.48 0.841.56 0.87 0.29 0.55 2 1.07 1.14 0.97 0.96 1.08 1.03 0.90 1.02 1.06 1.040.98 3 0.62 0.97 0.97 0.67 0.98 0.68 0.55 1.06 0.66 0.83 0.66 4 1.041.00 1.03 1.01 1.02 1.04 1.03 0.96 1.01 1.01 0.98 5 1.03 0.94 0.99 0.991.03 1.04 0.95 0.95 1.02 1.01 0.94 6 0.58 0.88 1.20 0.68 1.13 0.36 0.431.37 0.83 1.05 0.13 7 0.61 0.88 0.60 0.71 1.14 0.36 0.43 1.22 0.94 1.390.13 8 1.13 1.05 2.10 1.00 1.42 0.76 1.01 1.52 1.50 1.58 0.40 9 0.640.85 0.72 0.97 0.81 0.77 0.77 0.99 0.68 0.82 0.55 10 0.67 0.85 0.36 1.080.82 0.76 0.78 0.89 0.74 1.03 0.56 11 0.79 0.91 0.87 0.98 1.05 0.88 1.041.10 1.06 0.75 0.89 12 0.36 0.74 0.36 0.78 0.88 0.32 0.61 1.13 0.50 0.200.24 13 0.47 0.82 0.51 0.75 0.65 0.43 0.47 0.94 0.58 0.48 0.27 14 0.780.96 0.74 0.85 0.88 0.79 0.77 0.97 0.89 0.79 0.69 15 0.39 0.82 0.68 0.660.77 0.47 0.43 1.00 0.44 0.67 0.37 16 0.40 0.82 0.34 0.71 0.78 0.47 0.440.90 0.49 0.86 0.38 17 0.65 0.93 0.79 0.95 0.85 0.80 0.76 0.98 0.67 0.800.51 18 0.41 0.82 0.63 0.68 0.72 0.46 0.45 0.98 0.49 0.59 0.32 19 0.430.82 0.32 0.75 0.73 0.46 0.45 0.88 0.54 0.76 0.33 20 0.49 0.82 0.25 0.830.66 0.43 0.47 0.84 0.65 0.62 0.27 Correlation IDs 1, 2, 3, 4, 5 . . .etc. refer to those described in Table 45 above [Brachypodium correlatedparameters (vectors)]. The Brachypodium accession numbers are Line 1,Line 2, etc. Phenotypic ratio of low N versus normal conditions(Maintenance of performance under low N conditions) was calculated andcorrelation of this ratio with expression under low N conditions wascalculated.

TABLE 52 Measured parameters of correlation IDs in additionalbrachypodium accessions under low N vs. normal conditions Corr. ID LineL-12 L-13 L-14 L-15 L-16 L-17 L-18 L-19 L-20 L-21 L-22 1 0.50 1.33 0.740.78 0.88 0.61 0.93 0.72 0.63 0.73 0.91 2 1.00 1.00 1.09 0.96 0.99 1.070.95 1.00 0.98 1.09 1.08 3 0.84 0.90 0.78 0.92 0.83 0.76 0.62 0.95 0.930.98 0.93 4 0.94 1.02 1.02 0.97 0.98 1.03 1.02 1.03 1.03 0.99 0.98 50.94 1.03 1.01 0.93 0.98 1.04 1.04 1.03 1.03 0.99 0.97 6 1.02 0.75 0.450.70 0.42 0.88 0.57 0.74 0.84 1.11 0.38 7 0.98 0.66 0.45 0.71 0.38 0.900.61 0.76 0.84 1.07 0.46 8 1.64 0.74 1.11 1.47 0.93 1.59 0.85 1.44 1.321.57 0.63 9 0.75 0.93 0.55 0.53 0.60 0.63 0.67 0.74 0.51 0.71 0.60 100.75 0.86 0.55 0.53 0.59 0.64 0.69 0.80 0.51 0.68 0.64 11 0.90 1.07 0.800.78 0.91 0.88 0.97 1.01 0.89 0.82 0.82 12 0.37 1.25 0.40 0.41 0.48 0.370.57 0.43 0.34 0.50 0.54 13 0.56 0.63 0.34 0.38 0.57 0.58 0.40 0.44 0.380.70 0.51 14 0.78 0.95 0.70 0.80 0.75 0.74 0.77 0.75 0.77 0.90 0.69 150.64 0.79 0.43 0.48 0.50 0.47 0.40 0.64 0.49 0.71 0.57 16 0.62 0.72 0.430.49 0.47 0.47 0.41 0.67 0.49 0.68 0.61 17 0.74 0.89 0.46 0.52 0.59 0.610.64 0.71 0.48 0.71 0.53 18 0.60 0.73 0.39 0.44 0.52 0.51 0.40 0.56 0.450.71 0.54 19 0.58 0.67 0.39 0.44 0.49 0.50 0.41 0.59 0.45 0.67 0.57 200.54 0.59 0.34 0.38 0.52 0.56 0.41 0.46 0.38 0.65 0.53 Correlation IDs1, 2, 3, 4, 5 . . . etc. refer to those described in Table 45 above[Brachypodium correlated parameters (vectors)]. The Brachypodiumaccession numbers are Line 12, Line 13, etc. Phenotypic ratio of low Nversus normal conditions (Maintenance of performance under low Nconditions) was calculated and correlation of this ratio with expressionunder low N conditions was calculated.

TABLE 53 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under low nitrogen fertilization conditions acrossbrachypodium accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value setSet ID Name R P value set Set ID WNU45 0.705 1.05E−02 1 19 WNU45 0.7277.40E−03 1 15 WNU45 0.718 8.54E−03 1 13 WNU45 0.704 1.06E−02 1 16 WNU450.727 7.33E−03 1 18 WNU46 0.828 8.80E−04 1 10 WNU46 0.870 2.32E−04 1 17WNU46 0.905 5.28E−05 1 19 WNU46 0.907 4.75E−05 1 15 WNU46 0.712 9.41E−031 1 WNU46 0.899 6.89E−05 1 20 WNU46 0.908 4.46E−05 1 13 WNU46 0.8051.57E−03 1 12 WNU46 0.900 6.73E−05 1 16 WNU46 0.851 4.49E−04 1 11 WNU460.732 6.77E−03 1 14 WNU46 0.858 3.51E−04 1 9 WNU46 0.792 2.15E−03 1 3WNU46 0.913 3.46E−05 1 18 WNU47 0.801 1.74E−03 2 1 WNU47 0.813 1.29E−032 12 WNU47 0.747 5.28E−03 2 11 WNU47 0.712 9.40E−03 1 10 WNU47 0.7041.07E−02 1 17 WNU47 0.745 5.42E−03 1 9 WNU50 0.790 2.22E−03 2 10 WNU490.785 2.47E−03 1 2 WNU50 0.816 1.20E−03 2 19 WNU50 0.749 5.01E−03 2 17WNU50 0.855 3.95E−04 2 1 WNU50 0.791 2.20E−03 2 15 WNU50 0.789 2.30E−032 13 WNU50 0.808 1.48E−03 2 20 WNU50 0.814 1.26E−03 2 16 WNU50 0.9016.40E−05 2 12 WNU50 0.797 1.90E−03 2 14 WNU50 0.852 4.28E−04 2 11 WNU500.795 2.02E−03 2 18 WNU50 0.773 3.18E−03 2 9 WNU51 0.838 6.71E−04 2 15WNU51 0.864 2.93E−04 2 19 WNU51 0.890 1.07E−04 2 20 WNU51 0.841 6.06E−042 6 WNU51 0.747 5.23E−03 2 12 WNU51 0.893 9.39E−05 2 13 WNU51 0.7703.38E−03 2 11 WNU51 0.837 6.89E−04 2 16 WNU51 0.839 6.47E−04 2 7 WNU510.798 1.88E−03 2 14 WNU51 0.781 2.71E−03 2 3 WNU51 0.704 1.06E−02 2 9WNU52 0.718 8.52E−03 1 19 WNU51 0.866 2.72E−04 2 18 WNU52 0.871 2.29E−041 1 WNU52 0.722 8.04E−03 1 15 WNU52 0.708 9.92E−03 1 13 WNU52 0.7061.03E−02 1 20 WNU52 0.720 8.25E−03 1 16 WNU52 0.853 4.19E−04 1 12 WNU520.788 2.35E−03 1 14 WNU52 0.852 4.32E−04 1 11 WNU52 0.720 8.22E−03 1 18WNU52 0.712 9.45E−03 1 9 “Cor. ID”—correlation set ID according to thecorrelated parameters Table above. “Exp. Set”—Expression set. “R” =Pearson correlation coefficient; “P” = p value.

TABLE 54 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal nitrogen fertilization conditions acrossbrachypodium accessions Gene Exp. Cor. Set Gene Exp. Cor. Set Name R Pvalue set ID Name R P value set ID WNU46 0.806 4.92E−03 2 21 WNU52 0.7251.76E−02 2 15 WNU49 0.762 1.04E−02 2 18 WNU52 0.754 1.17E−02 2 14 “Cor.ID”—correlation set ID according to the correlated parameters Tableabove. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient;“P” = p value.

TABLE 55 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under low nitrogen fertilization vs. normal conditionsacross brachypodium accessions Gene Exp. Cor. Gene Exp. Cor. Name R Pvalue set Set ID Name R P value set Set ID WNU49 0.777 2.94E−03 1 20WNU49 0.713 9.17E−03 1 19 WNU49 0.718 8.56E−03 1 13 “Corr.ID”—correlation set ID according to the correlated parameters Tableabove. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient;“P” = p value.

Example 12 Production of Foxtail Millet Transcriptome and HighThroughput Correlation Analysis Using 60K Foxtail Millet OligonucleotideMicro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a foxtail millet oligonucleotide micro-array, produced byAgilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 60K foxtailmillet genes and transcripts. In order to define correlations betweenthe levels of RNA expression and yield or vigor related parameters,various plant characteristics of 14 different foxtail millet accessionswere analyzed. Among them, 11 accessions encompassing the observedvariance were selected for RNA expression analysis. The correlationbetween the RNA levels and the characterized parameters was analyzedusing Pearson correlation test [davidmlane (dot) com/hyperstat/A34739(dot) html].

Experimental Procedures

Fourteen Foxtail millet accessions in 5 repetitive plots, in the field.Foxtail millet seeds were sown in soil and grown under normalcondition[15 units of Nitrogen (kg nitrogen per dunam)], reducednitrogen fertilization (2.5-3.0 units of Nitrogen in the soil (based onsoil measurements) and reduced stands in the field [i.e., 8 plants permeter per row as compared to “standard” stands of 17 plants per meterrow].

Analyzed Foxtail millet tissues—three tissues at different developmentalstages [leaf, flower, and stem], representing different plantcharacteristics, were sampled and RNA was extracted as described above.Each micro-array expression information tissue type has received a SetID as summarized in Tables 56-57 below.

TABLE 56 Foxtail millet transcriptome expression sets under normalconditions Expression Set Set ID normal/flag leaf: Normal: grainfilling:1 normal/flag leaf: Normal: heading: 2 normal/flower: Normal: heading: 3normal/head: Normal: grainfilling: 4 normal/leaf: Normal: seedling: 5normal/low stem: Normal: heading: 6 normal/mature leaf: Normal:grainfilling: 7 normal/root: Normal: seedling: 8 normal/stem: Normal:seedling: 9 normal/stem node: Normal: grainfilling: 10 normal/up stem:Normal: grainfilling: 11 normal/up stem: Normal: heading: 12normal/vein: Normal: grainfilling: 13 Table 56. Provided are the foxtailmillet transcriptome expression sets under normal conditions

TABLE 57 Foxtail millet transcriptome expression sets under low Nconditions Expression Set Set ID Low N/flag leaf: Low N: grainfilling: 1Low N/flag leaf: Low N: heading: 2 Low N/flower: Low N: heading: 3 LowN/head: Low N: grainfilling: 4 Low N/low stem: Low N: heading: 5 LowN/mature leaf: Low N: grainfilling: 6 Low N/stem node: Low N:grainfilling: 7 Low N/up stem: Low N: grainfilling: 8 Low N/up stem: LowN: heading: 9 Low N/vein: Low N: grainfilling: 10 Table 57. Provided arethe foxtail millet transcriptome expression sets under low N conditions

Foxtail millet yield components and vigor related parametersassessment—Plants were continuously phenotyped during the growth periodand at harvest (Tables 58-59, below). The image analysis system includeda personal desktop computer (Intel P4 3.0 GHz processor) and a publicdomain program—ImageJ 1.37 (Java based image processing program, whichwas developed at the U.S. National Institutes of Health and freelyavailable on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzeddata was saved to text files and processed using the JMP statisticalanalysis software (SAS institute).

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from thePlant ‘Head’ and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The grain area was measured from those images and wasdivided by the number of grains.

(ii) Average Grain Length and width (cm)—A sample of ˜200 grains wasweighted, photographed and images were processed using the belowdescribed image processing system. The sum of grain lengths and width(longest axis) was measured from those images and was divided by thenumber of grains.

At the end of the growing period 14 ‘Heads’ were photographed and imageswere processed using the below described image processing system.

(i) Head Average Area (cm²)—The ‘Head’ area was measured from thoseimages and was divided by the number of ‘Heads’.

(ii) Head Average Length (mm)—The ‘Head’ length (longest axis) wasmeasured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personaldesktop computer (Intel P4 3.0 GHz processor) and a public domainprogram—ImageJ 1.37, Java based image processing software, which wasdeveloped at the U.S. National Institutes of Health and is freelyavailable on the internet at rsbweb (dot) nih (dot) gov/. Images werecaptured in resolution of 10 Mega Pixels (3888×2592 pixels) and storedin a low compression JPEG (Joint Photographic Experts Group standard)format. Next, image processing output data for seed area and seed lengthwas saved to text files and analyzed using the JMP statistical analysissoftware (SAS institute).

Additional parameters were collected either by sampling 5 plants perplot (SP) or by measuring the parameter across all the plants within theplot (RP).

Total Grain Weight (gr.)—At the end of the experiment (plant ‘Heads’)heads from plots were collected, the heads were threshed and grains wereweighted. In addition, the average grain weight per head was calculatedby dividing the total grain weight by number of total heads per plot(based on plot).

Head weight and head number—At the end of the experiment, heads wereharvested from each plot and were counted and weighted (kg.).

Biomass at harvest—At the end of the experiment the vegetative materialfrom plots was weighted.

Dry weight—total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours atharvest.

Total dry mater per plot—Calculated as Vegetative portion above groundplus all the heads dry weight per plot.

Num days to anthesis—Calculated as the number of days from sowing till50% of the plot arrives anthesis.

Total No. of tillers—all tillers were counted per plot at two timepoints at the Vegetative growth (30 days after sowing) and at harvest.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502chlorophyll meter and measurement was performed at time of flowering.SPAD meter readings were done on young fully developed leaf. Threemeasurements per leaf were taken per plot.

Root FW (Gr.), root length (Cm) and No. of lateral roots—one plant perplot (5 repeated plots) were selected for measurement of root weight,root length and for counting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of one plant per plot were recorded atdifferent time-points.

Grain N (H)—% N content of dry matter in the grain at harvest.

Head N (GF)—% N content of dry matter in the head at grainfilling.

Total shoot N—calculated as the % N content multiplied by the weight ofplant shoot

Total grain N—calculated as the % N content multiplied by the weight ofplant grain yield.

NUE [kg/kg]—is the ratio between total grain yield per total N appliedin soil.

NUpE [kg/kg]—is the ratio between total plant biomass per total Napplied in soil.

Grain NUtE—is the ratio between grain yield per total shoot N.

Total NUtE—is the ratio between grain and shoot biomass per total shootN.

Stem Volume of lower stem—the calculated volume of the lowest internode.

Stem Volume of upper stem—the calculated volume of the internode justbelow the head.

Stem density—is the ratio between internode dry weight and internodevolume.

Maintenance of performance under low N conditions—Represent ratio forthe specified parameter of low N condition results divided by Normalconditions results (maintenance of phenotype under low N in comparisonto normal conditions).

Data parameters collected are summarized in Tables 58-59 herein below

TABLE 58 Foxtail millet correlated parameters under normal conditions(vectors) Correlation set Correlation ID Grain N (H) [%] 1 Grains Yieldper plant (RP) [gr] 2 Grains yield (RP) [gr] 3 Head N (GF) [%] 4 HeadsFW (RP) [gr] 5 Heads FW (SP)[gr] 6 Heads num (SP) 7 Heads weight (RP)[gr] 8 Heads weight (SP) [gr] 9 Heads weight per plant (RP) [gr] 10Leaves num 1 11 Leaves num 2 12 Leaves num 3 13 Leaves num 4 14 Leavestemperature 1 [C.] 15 Leaves temperature 2 [C.] 16 Lower Stem DW (F)[gr] 17 Lower Stem FW (F) [gr] 18 Lower Stem length (F) [cm] 19 LowerStem width (F) [cm] 20 Lower stem DW/cm [gr/cm] 21 Lower stem density[gr/cm³] 22 NUE 23 NHI 24 NUpE 25 Num days to Heading (field) 26 Numdays to Maturity [days] 27 Num lateral roots 28 Plant height growth[cm/day] 29 Plant height 1 [cm] 30 Plant height 2 [cm] 31 Plant height 3[cm] 32 Plant height 4 [cm] 33 Plant num at harvest 34 Plant weightgrowth [gr/day] 35 Root length [cm] 36 SPAD (F) 37 SPAD 1 38 SPAD 2 39Shoot DW 1 [gr] 40 Shoot DW 2 [gr] 41 Shoot DW 3 [gr] 42 Shoot N (H) [%]43 Tillering 1 44 Tillering 2 45 Tillering 3 46 Total grain N (H) [mg]47 Total shoot N (H) [mg] 48 Upper Stem DW (F) [gr] 49 Upper Stem FW (F)[gr] 50 Upper Stem length (F) [cm] 51 Upper Stem width (F) [cm] 52 Upperstem DW/cm [gr/cm] 53 Upper stem density [gr/cm³] 54 Vegetative DW (RP)[gr] 55 Vegetative DW (SP) [gr] 56 Vegetative DW per plant [gr] 57Vegetative FW (RP) [gr] 58 Vegetative FW (SP) [gr] 59 grain NUtE 60lower stem volume (F) [cm³] 61 total NUtE 62 upper stem volume [cm³] 63Table58. Provided are the foxtail millet collected parameters undernormal conditions. “num” = number.

TABLE 59 Foxtail millet correlated parameters under low N conditions(vectors) Correlation set Correlation ID Grain N (H) [%] 1 Grain N (H)NUE ratio 2 Grains Yield per plant (RP) [gr] 3 Grains Yield per plant(RP) NUE ratio 4 Grains yield (RP) [gr] 5 Head N (GF) [%] 6 Head N (GF)NUE ratio 7 Heads FW (RP) [gr] 8 Heads FW (SP) [gr] 9 Heads num (SP) 10Heads num (SP) NUE ratio 11 Heads weight (RP) [gr] 12 Heads weight (SP)[gr] 13 Heads weight per plant (RP) [gr] 14 Heads weight per plant (RP)NUE ratio 15 Leaves num 1 16 Leaves num 2 17 Leaves num 3 18 Leaves num4 19 Leaves num 4 NUE ratio 20 Leaves temperature 1 [C.] 21 Leavestemperature 2 [C.] 22 Lower Stem DW (F) [gr] 23 Lower Stem FW (F) [gr]24 Lower Stem length (F) [cm] 25 Lower Stem width (F) [cm] 26 Lower stemDW/cm [gr/cm] 27 Lower stem DW/cm NUE ratio 28 Lower stem density[gr/cm³] 29 Lower stem density NUE ratio 30 NUE 31 NUE NUE ratio 32 NUI33 NUI NUE ratio 34 NUpE 35 NUpE NUE ratio 36 Num days to Heading(field) 37 Num days to Heading NUE ratio (field) 38 Num days to Maturity39 Num lateral roots 40 Num lateral roots NUE ratio 41 Plant heightgrowth [cm/day] 42 Plant height growth NUE ratio 43 Plant height 1 [cm]44 Plant height 2 [cm] 45 Plant height 3 [cm] 46 Plant height 4 [cm] 47Plant height 4 NUE ratio 48 Plant num at harvest 49 Plant weight growth[gr/day] 50 Plant weight growth NUE ratio 51 Root length [cm] 52 Rootlength NUE ratio 53 SPAD (F) 54 SPAD (F) NUE ratio 55 SPAD 1 56 SPAD 257 Shoot C (H) [%] 58 Shoot DW 1 [gr] 59 Shoot DW 2 [gr] 60 Shoot DW 3[gr] 61 Shoot DW 3 NUE ratio 62 Shoot N (H) [%] 63 Shoot N (H) NUE ratio64 Tillering 1 65 Tillering 2 66 Tillering 3 67 Tillering 3 NUE ratio 68Total grain N (H) [mg] 69 Total grain N (H) NUE ratio 70 Total shoot N(H) [mg] 71 Total shoot N (H) NUE ratio 72 Upper Stem DW (F) [gr] 73Upper Stem FW (F) [gr] 74 Upper Stem length (F) [cm] 75 Upper Stem width(F) [cm] 76 Upper stem DW/cm [gr/cm] 77 Upper stem DW/cm NUE ratio 78Upper stem density [gr/cm³] 79 Upper stem density NUE ratio 80Vegetative DW (RP) [gr] 81 Vegetative DW (SP) [gr] 82 Vegetative DW perplant [gr] 83 Vegetative DW per plant NUE ratio 84 Vegetative FW (RP)[gr] 85 Vegetative FW (SP) [gr] 86 grain NUtE 87 grain NUtE NUE ratio 88lower stem volume (F) 89 lower stem volume (F) NUE ratio 90 shoot C/N(H) 91 shoot C/N (H) NUE ratio 92 total NUtE 93 total NUtE NUE ratio 94upper stem volume [cm³] 95 upper stem volume NUE ratio 96 Table 59.Provided are the foxtail millet collected parameters under low Nconditions.

Experimental Results

Fourteen different foxtail millet accessions were grown andcharacterized for different parameters as described above. The averagefor each of the measured parameters was calculated using the JMPsoftware and values are summarized in Tables 60-61 below. Subsequentcorrelation analysis between the various transcriptome sets and theaverage parameters was conducted. Follow, results were integrated to thedatabase.

TABLE 60 Measured parameters of correlation IDs in foxtail milletaccessions under normal conditions Cor. ID Line L-1 L-2 L-3 L-4 L-5 L-6L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 1.77 2.36 NA 1.98 2.07 2.13 2.13NA 1.79 3.05 NA 1.85 NA 1.97 2 34.71 23.00 24.84 31.07 26.64 28.32 34.9226.40 48.35 22.35 9.38 31.53 30.10 29.98 3 1086.00 679.20 727.60 797.60792.40 856.80 902.80 803.60 1120.80 584.40 268.00 818.80 800.80 818.40 41.72 2.21 NA 2.30 1.97 2.07 2.45 NA 1.93 1.81 NA 2.17 NA 2.26 5 1.801.12 1.07 1.34 1.32 1.11 1.36 1.16 1.69 1.44 0.57 1.13 1.23 1.27 6 0.240.17 0.18 0.27 0.21 0.23 0.28 0.25 0.39 0.25 0.13 0.25 0.31 0.29 7 7.2094.00 87.60 295.40 114.00 122.40 29.80 129.20 11.00 13.20 53.60 32.8060.60 323.20 8 1.31 0.87 0.89 1.07 1.02 0.98 1.10 0.98 1.29 1.03 0.421.00 0.99 1.02 9 0.18 0.10 0.12 0.24 0.21 0.23 0.22 0.24 0.30 0.18 0.100.22 0.24 0.23 10 41.78 29.33 30.26 41.57 34.38 32.52 41.81 32.10 60.6139.91 14.61 38.41 37.47 37.42 11 4.07 5.33 4.13 5.07 5.00 4.27 3.67 3.773.79 3.73 4.00 3.90 4.03 5.23 12 NA NA NA NA NA NA NA NA NA NA NA NA NANA 13 5.30 2.90 2.94 3.55 3.90 4.13 4.40 4.10 3.90 4.35 3.25 3.30 3.753.70 14 7.90 4.70 4.50 5.30 6.55 6.35 7.15 7.00 6.65 5.90 4.80 5.20 5.209.25 15 NA NA NA 27.70 28.02 28.35 28.23 27.96 NA NA NA NA NA 27.54 1630.18 NA NA NA NA NA NA NA 30.92 NA NA NA NA NA 17 0.71 NA 0.30 0.160.15 0.20 0.61 0.17 0.86 NA NA 0.55 0.93 0.09 18 4.21 NA 1.43 0.69 0.640.64 2.50 0.76 3.13 NA NA 3.64 5.49 0.39 19 8.35 NA 10.25 8.75 6.69 7.648.08 7.15 9.15 NA NA 10.18 12.26 8.98 20 7.24 NA 4.16 3.12 3.33 3.185.57 3.61 6.95 NA NA 6.23 6.75 2.24 21 0.08 NA 0.03 0.02 0.02 0.03 0.080.02 0.09 NA NA 0.05 0.08 0.01 22 0.21 NA 0.22 0.23 0.26 0.33 0.31 0.230.25 NA NA 0.18 0.21 0.24 23 1.83 1.21 1.31 1.64 1.40 1.49 1.84 1.392.54 1.18 0.49 1.66 1.58 1.58 24 0.91 0.87 NA 0.93 0.92 0.93 0.93 NA0.93 0.88 NA 0.90 NA 0.87 25 35.54 32.85 NA 34.72 31.40 33.90 41.82 NA48.90 40.60 0.00 34.04 NA 35.90 26 54.00 63.40 59.40 39.60 46.00 40.8050.00 39.00 54.00 71.00 61.00 63.00 61.00 42.00 27 NA NA NA NA 75.0075.00 NA 75.00 NA 98.00 109.00 98.00 98.00 NA 28 NA NA NA NA NA NA NA NANA NA NA NA NA NA 29 2.10 1.42 1.32 2.10 1.93 2.44 1.84 2.56 1.91 0.971.16 1.35 1.50 2.12 30 3.72 2.92 3.25 3.55 3.45 3.68 2.92 3.63 4.12 2.473.10 3.58 3.43 3.63 31 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 3226.63 17.68 18.00 25.83 23.35 28.60 21.53 30.53 26.03 16.78 17.80 19.5320.75 24.55 33 45.98 31.80 29.75 46.08 42.88 53.63 40.68 55.63 42.1020.53 25.75 30.30 33.30 47.31 34 31.40 29.60 29.80 26.00 30.00 30.2027.75 30.75 23.60 26.00 29.40 26.20 27.00 27.40 35 2.85 3.12 5.11 4.352.87 3.11 2.93 3.40 4.79 3.15 3.41 3.12 2.04 4.51 36 NA NA NA NA NA NANA NA NA NA NA NA NA NA 37 60.82 NA NA 54.68 49.93 57.47 58.59 55.4055.04 NA NA NA NA 55.90 38 NA NA NA 54.68 49.93 57.47 58.59 55.40 NA NANA NA NA 55.90 39 60.82 NA NA NA NA NA NA NA 554.04 NA NA NA NA NA 4012.75 19.52 14.43 20.70 20.63 21.01 14.01 18.80 14.17 11.62 19.62 18.3610.81 17.13 41 57.06 65.70 54.29 59.78 60.76 71.99 53.98 71.68 87.5552.63 52.33 77.31 63.50 66.48 42 88.87 97.87 162.66 135.96 100.39 103.3397.31 118.42 142.38 98.23 116.82 103.25 72.94 143.65 43 1.87 1.52 NA1.78 1.99 1.79 1.63 NA 1.53 1.21 NA 1.23 NA 2.60 44 NA NA NA NA NA NA NANA NA NA NA NA NA NA 45 1.06 21.15 16.75 34.30 17.15 10.85 3.29 11.812.20 3.00 9.50 6.80 4.45 39.10 46 1.40 10.30 7.60 10.70 6.40 9.20 2.224.67 2.70 3.50 6.50 5.80 6.80 16.70 47 612.84 543.69 NA 613.75 551.78602.01 742.76 NA 865.05 682.14 NA 583.65 NA 590.90 48 62.40 80.47 NA45.88 44.79 42.05 51.85 NA 64.03 89.22 NA 63.05 NA 91.27 49 0.81 NA 0.240.24 0.14 0.21 0.32 0.53 0.41 NA NA 0.37 0.77 0.08 50 3.24 NA 0.48 0.670.43 0.50 1.28 0.93 1.49 NA NA 0.68 0.89 0.21 51 33.67 NA 17.66 36.2519.60 27.88 26.18 38.74 24.47 NA NA 21.93 16.47 21.90 52 3.68 NA 1.781.51 1.59 1.50 2.55 1.90 3.19 NA NA 1.92 2.70 0.97 53 0.02 NA 0.01 0.010.01 0.01 0.01 0.01 0.02 NA NA 0.02 0.05 0.00 54 0.23 NA 0.55 0.38 0.350.42 0.24 0.48 0.21 NA NA 0.59 0.82 0.51 55 1.06 1.56 1.17 0.67 0.670.71 0.87 0.58 0.98 1.91 2.80 1.34 1.53 0.88 56 0.13 0.23 0.21 0.11 0.110.13 0.16 0.12 0.18 0.34 0.57 0.29 0.44 0.18 57 33.35 52.77 41.10 25.8022.52 23.54 31.90 18.93 41.96 73.71 101.16 51.45 57.70 35.07 58 3.193.85 2.78 1.98 2.15 1.57 2.19 1.68 2.42 5.52 5.17 3.34 3.63 2.05 59 0.450.57 0.53 0.39 0.27 0.37 NA 0.37 0.58 0.97 1.10 0.71 1.04 0.44 60 0.560.29 NA 0.68 0.59 0.67 0.67 NA 0.76 0.25 NA 0.50 NA 0.33 61 3.44 NA 1.390.67 0.58 0.61 1.97 0.73 3.47 NA NA 3.10 4.38 0.35 62 0.10 0.12 NA 0.090.08 0.08 0.08 NA 0.10 0.12 NA 0.13 NA 0.10 63 3.57 NA 0.44 0.65 0.390.49 1.34 1.10 1.96 NA NA 0.64 0.94 0.16 Provided are the values of eachof the parameters (as described in Table 58 above) measured in Foxtailmillet accessions (lines; “L”) under normal growth conditions. Growthconditions are specified in the experimental procedure section. “NA” =not available.

TABLE 61 Additional measured parameters of correlation IDs in foxtailmillet accessions under low N conditions Cor. ID Line L-1 L-2 L-3 L-4L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 NA 2.03 1.86 1.60 1.591.97 NA 2.26 1.43 1.76 NA 1.81 NA 1.94 2 NA 0.86 NA 0.81 0.77 0.93 NA NA0.80 0.58 NA 0.98 NA 0.98 3 29.85 20.46 34.44 29.75 22.31 23.02 22.5920.66 37.09 25.39 20.97 33.96 34.85 26.22 4 0.86 0.89 1.39 0.96 0.840.81 0.65 0.78 0.77 1.14 2.24 1.08 1.16 0.87 5 936.40 622.80 923.60819.50 726.80 683.50 622.80 636.50 944.00 693.60 644.80 866.40 896.00662.50 6 NA 1.97 1.84 1.20 1.64 1.23 NA 1.91 1.92 1.71 NA 2.10 NA 2.13 7NA 0.89 NA 0.52 0.83 0.59 NA NA 1.00 0.95 NA 0.97 NA 0.94 8 1.60 1.011.38 1.42 1.14 0.89 0.97 0.98 1.52 1.48 0.99 1.15 1.28 0.98 9 0.25 0.160.22 0.26 0.15 0.18 0.19 0.17 0.31 0.28 0.15 0.27 0.30 0.23 10 8.2057.00 64.60 214.00 69.20 117.75 31.80 99.20 7.00 14.60 30.80 28.80 68.20215.25 11 1.14 0.61 0.74 0.72 0.61 0.96 1.07 0.77 0.64 1.11 0.57 0.881.13 0.67 12 1.18 0.81 1.17 1.06 0.88 0.77 0.76 0.78 1.14 1.07 0.80 1.011.09 0.82 13 0.18 0.16 0.18 0.23 0.17 0.19 0.14 0.18 0.24 0.21 0.12 0.240.26 0.17 14 37.59 26.53 37.22 38.71 26.98 25.86 27.61 25.30 45.06 39.2626.08 39.72 42.38 32.67 15 0.90 0.90 1.23 0.93 0.78 0.80 0.66 0.79 0.740.98 1.78 1.03 1.13 0.87 16 4.27 2.60 2.80 2.53 2.60 2.28 3.57 3.00 3.403.83 2.90 3.07 3.37 3.20 17 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 185.90 3.45 3.20 3.50 3.95 4.15 4.90 5.00 3.95 4.45 3.55 3.75 3.80 3.35 196.50 3.65 3.15 3.90 3.75 5.05 6.15 5.20 4.75 5.15 3.20 3.65 4.30 3.30 200.82 0.78 0.70 0.74 0.57 0.80 0.86 0.74 0.71 0.87 0.67 0.70 0.83 0.36 21NA NA NA 26.30 27.09 27.81 27.65 27.92 NA NA NA NA NA 27.18 22 30.83 NANA NA NA NA NA NA 30.61 NA NA NA NA NA 23 0.99 NA 0.30 0.18 0.14 0.250.55 0.16 0.96 NA NA 0.48 0.94 0.08 24 3.57 NA 1.50 0.68 0.54 0.94 1.930.54 2.98 NA NA 3.93 4.39 0.30 25 6.81 NA 10.46 8.34 6.76 7.46 6.44 7.168.50 NA NA 9.94 11.84 8.67 26 6.85 NA 3.89 2.96 3.19 3.18 5.08 3.11 6.43NA NA 6.52 6.08 2.13 27 0.15 NA 0.03 0.02 0.02 0.03 0.09 0.02 0.11 NA NA0.05 0.08 0.01 28 1.72 NA 0.96 1.21 0.93 1.28 1.14 0.96 1.19 NA NA 0.891.04 0.96 29 0.40 NA 0.24 0.31 0.26 0.42 0.42 0.30 0.35 NA NA 0.14 0.270.26 30 1.92 NA 1.09 1.35 1.01 1.28 1.38 1.30 1.39 NA NA 0.81 1.28 1.0631 29.85 20.46 34.44 29.75 22.31 23.02 22.59 20.66 37.09 25.39 20.9733.96 34.85 26.22 32 16.34 16.90 26.34 18.19 15.91 15.45 12.29 14.8714.57 21.58 42.49 20.47 22.00 16.62 33 NA 0.89 0.93 0.92 0.93 0.94 NA0.95 0.93 0.86 NA 0.93 NA 0.90 34 NA 1.03 NA 0.99 1.01 1.00 NA NA 0.990.97 NA 1.03 NA 1.04 35 NA 464.77 688.20 516.07 380.02 484.90 NA 493.50572.76 517.93 0.00 661.86 NA 565.17 36 NA 14.15 NA 14.87 12.10 14.30 NANA 11.71 12.76 NA 19.45 NA 15.74 37 54.00 64.00 58.60 40.40 46.00 41.6051.60 39.00 55.40 72.40 61.00 62.20 62.40 42.80 38 1.00 1.01 0.99 1.021.00 1.02 1.03 1.00 1.03 1.02 1.00 0.99 1.02 1.02 39 90.00 90.00 90.00NA 75.00 NA NA 75.00 90.00 98.00 109.00 98.00 98.00 NA 40 NA NA NA NA NANA NA NA NA NA NA NA NA NA 41 NA NA NA NA NA NA NA NA NA NA NA NA NA NA42 1.64 1.00 1.01 1.81 1.50 1.88 1.38 2.10 1.47 0.84 0.83 1.10 1.18 1.2543 0.78 0.70 0.77 0.86 0.77 0.77 0.75 0.82 0.77 0.87 0.72 0.82 0.79 0.5944 4.21 3.76 3.72 3.87 4.27 4.19 3.43 3.72 4.66 3.11 3.57 4.01 3.75 3.4845 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 46 22.50 13.98 16.20 23.9320.95 25.05 17.78 24.19 20.66 15.06 14.03 17.68 17.45 19.18 47 37.0824.13 23.55 40.30 34.33 41.91 31.38 47.50 32.75 18.23 19.80 25.63 27.1827.95 48 0.81 0.76 0.79 0.87 0.80 0.78 0.77 0.85 0.78 0.89 0.77 0.850.82 0.59 49 31.40 31.00 28.60 27.50 32.40 30.00 28.20 30.80 25.20 27.6030.60 26.80 26.60 25.50 50 2.21 3.42 3.31 2.21 2.83 3.79 1.75 2.18 2.522.71 2.37 2.63 4.09 3.44 51 0.77 1.10 0.65 0.51 0.98 1.22 0.60 0.64 0.530.86 0.70 0.84 2.01 0.76 52 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 53NA NA NA NA NA NA NA NA NA NA NA NA NA NA 54 58.57 35.92 39.05 48.2840.65 52.33 59.10 52.22 52.85 43.76 36.61 38.74 46.16 45.38 55 0.96 NANA 0.88 0.81 0.91 1.01 0.95 0.95 NA NA NA NA 0.81 56 57.92 35.92 39.0548.28 40.65 52.33 59.10 52.85 52.32 43.76 36.61 38.74 46.16 45.38 5760.61 NA NA NA NA NA NA NA 52.50 NA NA NA NA NA 58 NA 38.88 37.86 38.4637.79 32.51 NA 38.37 36.93 38.18 NA 37.44 NA 39.40 59 11.04 8.18 9.4214.44 13.46 14.92 8.04 12.85 7.88 5.62 9.90 8.69 7.61 12.70 60 54.6653.94 70.22 67.83 76.02 85.68 48.28 64.02 54.78 47.98 34.78 40.28 61.9692.38 61 67.28 101.45 95.21 66.74 84.32 100.27 55.05 65.93 74.17 69.4776.90 81.10 118.81 94.59 62 0.76 1.04 0.59 0.49 0.84 0.97 0.57 0.56 0.520.71 0.66 0.79 1.63 0.66 63 NA 1.38 1.28 1.86 1.68 1.61 NA 1.73 1.471.20 NA 1.05 NA 1.96 64 NA 0.90 NA 1.05 0.85 0.90 NA NA 0.97 0.99 NA0.85 NA 0.75 65 NA NA NA NA NA NA NA NA NA NA NA NA NA NA 66 1.05 10.9512.35 22.60 14.00 10.60 1.60 8.45 1.20 2.20 7.80 4.90 7.56 26.95 67 1.309.10 8.25 17.00 8.10 12.25 2.20 5.40 1.90 3.30 6.11 4.00 8.60 20.63 680.93 0.88 1.09 1.59 1.27 1.33 0.99 1.16 0.70 0.94 0.94 0.69 1.26 1.24 69NA 415.32 640.96 475.71 353.87 453.77 NA 466.84 529.91 446.46 NA 614.57NA 508.79 70 NA 0.76 NA 0.78 0.64 0.75 NA NA 0.61 0.65 NA 1.05 NA 0.8671 NA 49.45 47.24 40.36 26.15 31.13 NA 26.66 42.84 71.47 NA 47.29 NA56.38 72 NA 0.61 NA 0.88 0.58 0.74 NA NA 0.67 0.80 NA 0.75 NA 0.62 730.75 NA 0.31 0.18 0.18 0.25 0.51 0.34 0.51 NA NA 0.68 0.76 0.09 74 2.65NA 0.59 0.54 0.49 0.55 1.57 0.72 1.53 NA NA 0.90 1.34 0.20 75 29.08 NA20.07 34.93 26.95 32.65 28.31 38.64 22.29 NA NA 27.17 18.07 26.91 763.29 NA 1.71 1.34 1.53 1.54 2.58 1.72 2.82 NA NA 2.00 2.57 0.90 77 0.03NA 0.02 0.01 0.01 0.01 0.02 0.01 0.02 NA NA 0.03 0.04 0.00 78 1.08 NA1.14 0.77 0.97 1.04 1.47 0.64 1.35 NA NA 1.48 0.90 0.87 79 0.30 NA 0.680.37 0.37 0.42 0.35 0.38 0.36 NA NA 0.80 0.81 0.52 80 1.35 NA 1.23 0.991.06 0.99 1.44 0.78 1.73 NA NA 1.37 0.99 1.01 81 0.97 1.11 1.14 0.590.51 0.58 0.56 0.47 0.74 1.74 2.39 1.17 1.53 0.74 82 0.13 0.16 0.18 0.110.08 0.12 0.11 0.08 0.13 0.33 0.35 0.28 0.38 0.13 83 30.75 35.92 36.8721.66 15.54 19.35 20.21 15.38 29.06 59.54 76.55 45.18 59.12 28.72 840.92 0.68 0.90 0.84 0.69 0.82 0.63 0.81 0.69 0.81 0.76 0.88 1.02 0.82 853.03 2.55 2.86 2.22 1.97 1.21 1.37 1.35 1.99 4.55 4.37 2.75 2.67 1.43 860.39 0.36 0.44 0.38 0.19 0.32 NA 0.24 0.43 0.87 0.64 0.65 0.80 0.33 87NA 0.41 0.73 0.74 0.85 0.74 NA 0.77 0.87 0.36 NA 0.72 NA 0.47 88 NA 1.45NA 1.09 1.43 1.10 NA NA 1.15 1.42 NA 1.44 NA 1.42 89 2.51 NA 1.24 0.570.54 0.59 1.30 0.54 2.76 NA NA 3.31 3.44 0.31 90 0.73 NA 0.89 0.86 0.930.98 0.66 0.74 0.80 NA NA 1.07 0.78 0.88 91 NA 28.24 29.55 20.64 22.4520.20 NA 22.14 25.05 31.81 NA 35.77 NA 20.08 92 NA 1.02 NA 0.90 1.1411.0 NA NA 1.00 1.00 NA 1.16 NA 1.28 93 NA 0.12 0.10 0.10 0.10 0.09 NA0.07 0.12 0.16 NA 0.12 NA 0.10 94 NA 1.00 NA 1.16 1.21 1.09 NA NA 1.191.32 NA 0.93 NA 1.02 95 2.46 NA 0.46 0.49 0.49 0.60 1.48 0.89 1.39 NA NA0.85 0.94 0.17 96 0.69 NA 1.05 0.75 1.26 1.23 1.11 0.81 0.71 NA NA 1.341.00 1.06 Provided are the values of each of the parameters (asdescribed in Table 59 above) measured in Foxtail millet accessions(lines; “L”) under low N conditions. Growth conditions are specified inthe experimental procedure section. “NA” = not available.

TABLE 62 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under low nitrogen fertilization conditions across foxtailmillet accessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set SetID Name R P value set Set ID WNU1  0.938 1.77E−03 3 34 WNU1  0.7421.40E−02 3 4 WNU1  0.731 6.20E−02 3 2 WNU1  0.841 4.46E−03 3 25 WNU1 0.701 7.91E−02 3 92 WNU1  0.893 4.72E−03 3 79 WNU1  0.765 4.53E−02 3 36WNU1  0.762 1.04E−02 3 15 WNU1  0.812 2.66E−02 3 70 WNU1  0.747 5.35E−023 88 WNU1  0.765 1.64E−02 3 71 WNU1  0.742 1.40E−02 3 32 WNU1  0.7722.48E−02 8 91 WNU1  0.744 3.43E−02 8 93 WNU1  0.707 2.23E−02 9 81 WNU1 0.721 1.86E−02 9 83 WNU1  0.893 1.20E−03 9 71 WNU1  0.731 6.18E−02 9 39WNU1  0.816 7.31E−03 1 90 WNU1  0.865 2.63E−03 1 79 WNU1  0.759 4.80E−021 36 WNU1  0.747 5.39E−02 1 70 WNU1  0.718 2.95E−02 1 96 WNU1  0.7292.57E−02 1 91 WNU1  0.864 5.61E−03 4 90 WNU1  0.820 1.27E−02 4 79 WNU1 0.840 9.07E−03 4 96 WNU1  0.726 4.14E−02 4 88 WNU53 0.771 4.25E−02 3 34WNU53 0.770 4.29E−02 3 7 WNU53 0.729 6.29E−02 3 2 WNU53 0.711 3.18E−02 36 WNU53 0.705 2.26E−02 3 82 WNU53 0.858 3.08E−03 3 79 WNU53 0.7754.08E−02 3 36 WNU53 0.806 2.85E−02 3 70 WNU53 0.753 1.93E−02 3 91 WNU530.709 7.43E−02 8 25 WNU53 0.724 1.04E−01 8 92 WNU53 0.702 3.49E−02 8 60WNU53 0.760 1.74E−02 8 15 WNU53 0.869 5.11E−03 8 63 WNU53 0.741 3.53E−028 91 WNU53 0.746 2.10E−02 8 66 WNU53 0.706 3.36E−02 9 73 WNU53 0 7659.96E−03 9 16 WNU53 0.854 3.35E−03 9 76 WNU53 0.754 1.17E−02 9 18 WNU530.884 1.55E−03 9 95 WNU53 0.782 1.27E−02 9 23 WNU53 0.701 3.53E−02 9 26WNU53 0.859 3.03E−03 9 27 WNU53 0.753 1.19E−02 9 19 WNU53 0.881 1.69E−039 74 WNU53 0.949 2.73E−05 1 4 WNU53 0 850 3.71E−03 1 25 WNU53 0.8483.90E−03 1 79 WNU53 0.927 1.16E−04 1 15 WNU53 0.949 2.73E−05 1 32 WNU530.791 1.12E−02 1 91 WNU53 0.743 2.19E−02 1 69 WNU53 0.768 1.56E−02 1 35WNU53 0.760 1.07E−02 4 4 WNU53 0.878 4.14E−03 4 25 WNU53 0.924 1.04E−034 79 WNU53 0.808 1.52E−02 4 36 WNU53 0.861 1.39E−03 4 15 WNU53 0.7787.99E−03 4 42 WNU53 0.818 1.30E−02 4 70 WNU53 0.776 8.34E−03 4 47 WNU530.760 1.07E−02 4 32 WNU53 0.873 4.69E−03 4 75 WNU53 0.772 8.95E−03 4 46WNU53 0.862 1.26E−02 2 34 WNU53 0.816 2.52E−02 2 2 WNU53 0.862 2.79E−032 25 WNU53 0.915 5.53E−04 2 79 WNU53 0.864 1.22E−02 2 36 WNU53 0.8956.42E−03 2 70 WNU53 0.865 2.61E−03 2 69 WNU53 0.831 5.50E−03 2 35 WNU540.711 2.11E−02 3 38 WNU54 0.787 1.19E−02 3 75 WNU54 0.835 1.94E−02 3 72WNU54 0.778 3.92E−02 8 73 WNU54 0.718 6.92E−02 8 76 WNU54 0.725 6.51E−028 28 WNU54 0.776 1.39E−02 8 20 WNU54 0.887 7.75E−03 8 30 WNU54 0.7724.20E−02 8 95 WNU54 0.704 3.42E−02 8 86 WNU54 0.838 3.74E−02 8 64 WNU540.896 1.56E−02 8 55 WNU54 0.748 2.04E−02 8 11 WNU54 0.749 5.25E−02 8 74WNU54 0.811 5.03E−02 8 72 WNU54 0.768 7.45E−02 8 39 WNU54 0.831 2.92E−039 67 WNU54 0.883 7.04E−04 9 10 WNU54 0.766 9.86E−03 9 60 WNU54 0.9214.16E−04 9 63 WNU54 0.878 8.46E−04 9 66 WNU54 0.711 3.16E−02 1 73 WNU540.773 8.69E−03 1 16 WNU54 0.862 2.77E−03 1 76 WNU54 0.815 7.39E−03 1 28WNU54 0.713 2.07E−02 1 12 WNU54 0.763 1.02E−02 1 8 WNU54 0.821 6.65E−031 30 WNU54 0.884 1.57E−03 1 95 WNU54 0.873 2.14E−03 1 23 WNU54 0.7202.86E−02 1 77 WNU54 0.762 1.71E−02 1 26 WNU54 0.913 5.89E−04 1 27 WNU540.928 3.08E−04 1 74 WNU54 0.718 1.95E−02 1 5 WNU54 0.912 1.62E−03 4 25WNU54 0.938 5.77E−04 4 79 WNU54 0.750 3.21E−02 4 36 WNU54 0.726 1.75E−024 15 WNU54 0.769 2.57E−02 4 70 WNU54 0.803 5.16E−03 2 9 WNU54 0.7721.47E−02 2 76 WNU54 0.779 1.34E−02 2 89 WNU54 0.719 1.92E−02 2 14 WNU540.731 1.63E−02 2 37 WNU54 0.834 5.20E−03 2 23 WNU54 0.748 2.05E−02 2 77WNU54 0.864 2.70E−03 2 80 WNU54 0.733 2.48E−02 2 24 WNU54 0.816 7.33E−032 26 WNU54 0.755 1.86E−02 2 78 WNU54 0.749 2.03E−02 2 27 WNU54 0.7392.30E−02 2 93 WNU55 0.898 6.05E−03 3 34 WNU55 0.757 1.13E−02 3 62 WNU550.801 3.03E−02 3 88 WNU55 0.918 4.85E−04 8 81 WNU55 0.842 3.53E−02 8 7WNU55 0.882 1.66E−03 8 85 WNU55 0.876 1.97E−03 8 83 WNU55 0.940 1.63E−048 37 WNU55 0.753 1.93E−02 8 4 WNU55 0.822 6.53E−03 8 82 WNU55 0.7372.34E−02 8 86 WNU55 0.732 2.49E−02 8 15 WNU55 0.830 4.08E−02 8 88 WNU550.730 3.97E−02 8 71 WNU55 0.753 1.93E−02 8 32 WNU55 0.985 7.96E−06 8 91WNU55 0.839 9.18E−03 8 93 WNU55 0.926 7.98E−03 8 39 WNU55 0.801 5.35E−039 81 WNU55 0.788 6.79E−03 9 85 WNU55 0.741 1.43E−02 9 83 WNU55 0.7201.89E−02 9 86 WNU55 0.742 2.21E−02 9 71 WNU55 0.790 1.12E−02 9 93 WNU550.845 2.08E−03 1 81 WNU55 0.889 5.74E−04 1 83 WNU55 0.821 3.59E−03 1 37WNU55 0.751 1.24E−02 1 4 WNU55 0.850 3.70E−03 1 25 WNU55 0.945 3.82E−051 82 WNU55 0.942 1.44E−04 1 79 WNU55 0.872 9.90E−04 1 86 WNU55 0.7231.81E−02 1 15 WNU55 0.726 2.67E−02 1 71 WNU55 0.751 1.24E−02 1 32 WNU550.942 1.44E−04 1 91 WNU55 0.744 2.14E−02 1 93 WNU55 0.770 4.30E−02 1 39WNU55 0.768 9.42E−03 4 37 WNU55 0.714 4.68E−02 4 25 WNU55 0.759 1.09E−024 91 WNU55 0.740 1.44E−02 2 67 WNU55 0.746 1.33E−02 2 10 WNU55 0.9096.77E−04 2 1 WNU55 0.766 9.77E−03 2 66 WNU56 0.701 7.94E−02 3 36 WNU560.701 7.95E−02 3 70 WNU56 0.706 2.25E−02 3 19 WNU56 0.779 3.88E−02 8 73WNU56 0.727 6.40E−02 8 76 WNU56 0.752 1.94E−02 8 56 WNU56 0.806 8.67E−038 18 WNU56 0.701 7.95E−02 8 30 WNU56 0.790 3.46E−02 8 95 WNU56 0.8134.93E−02 8 2 WNU56 0.710 4.83E−02 8 1 WNU56 0.759 2.90E−02 8 33 WNU560.717 2.96E−02 8 42 WNU56 0.773 7.16E−02 8 55 WNU56 0.758 1.80E−02 8 54WNU56 0.743 2.17E−02 8 47 WNU56 0.701 7.93E−02 8 27 WNU56 0.723 6.63E−028 74 WNU56 0.705 3.39E−02 8 49 WNU56 0.750 5.23E−02 9 34 WNU56 0.8828.57E−03 9 2 WNU56 0.717 2.96E−02 9 77 WNU56 0.732 2.49E−02 9 79 WNU560.862 1.26E−02 9 36 WNU56 0.745 2.12E−02 9 1 WNU56 0.867 1.16E−02 9 70WNU56 0.848 1.58E−02 9 55 WNU56 0.800 9.68E−03 9 69 WNU56 0.726 2.68E−029 35 WNU56 0.770 4.28E−02 1 2 WNU56 0.803 5.15E−03 1 42 WNU56 0.7995.55E−03 1 47 WNU56 0.755 1.16E−02 1 59 WNU56 0.749 2.02E−02 1 75 WNU560.794 6.09E−03 1 46 WNU56 0.715 2.01E−02 4 56 WNU56 0.757 1.12E−02 4 42WNU56 0.716 1.98E−02 4 54 WNU56 0.747 1.30E−02 4 47 WNU56 0.792 1.92E−024 75 WNU56 0.776 8.35E−03 4 46 WNU56 0.770 4.28E−02 2 2 WNU56 0.8177.15E−03 2 1 WNU56 0.738 2.31E−02 2 75 WNU57 0.799 3.10E−02 3 94 WNU570.812 7.89E−03 8 42 WNU57 0.807 8.56E−03 8 47 WNU57 0.724 4.23E−02 8 63WNU57 0.736 2.39E−02 8 59 WNU57 0.805 2.90E−02 8 75 WNU57 0.745 2.14E−028 46 WNU57 0.824 3.36E−03 9 67 WNU57 0.889 5.87E−04 9 10 WNU57 0.7551.16E−02 9 60 WNU57 0.901 9.13E−04 9 63 WNU57 0.720 1.87E−02 9 59 WNU570.797 5.76E−03 9 66 WNU57 0.772 1.49E−02 1 96 WNU57 0.709 7.45E−02 2 36WNU57 0.729 2.60E−02 2 69 WNU58 0.711 1.13E−01 8 34 WNU58 0.739 5.76E−028 90 WNU58 0.856 1.40E−02 8 25 WNU58 0.807 2.84E−02 8 79 WNU58 0.7961.03E−02 8 61 WNU58 0.713 2.06E−02 9 67 WNU58 0.767 9.66E−03 9 10 WNU580.810 2.73E−02 9 2 WNU58 0.719 1.92E−02 9 66 WNU58 0.711 2.11E−02 1 10WNU58 0.717 2.97E−02 1 63 WNU58 0.711 4.81E−02 4 90 WNU58 0.840 9.03E−034 79 WNU58 0.740 3.60E−02 4 88 WNU58 0.768 9.42E−03 4 91 WNU60 0.7062.26E−02 1 10 WNU60 0.918 1.76E−04 1 68 WNU60 0.857 1.55E−03 1 59 WNU600.726 1.74E−02 1 46 WNU60 0.724 1.79E−02 4 42 WNU60 0.727 1.73E−02 4 47WNU60 0.764 2.72E−02 4 75 WNU60 0.714 2.03E−02 4 46 WNU60 0.745 1.35E−022 82 WNU60 0.721 1.86E−02 2 86 WNU60 0.801 9.50E−03 2 91 WNU61 0.7621.04E−02 3 67 WNU61 0.879 9.15E−03 3 34 WNU61 0.723 1.81E−02 3 10 WNU610.790 3.44E−02 3 2 WNU61 0.872 1.04E−02 3 36 WNU61 0.900 5.69E−03 3 70WNU61 0.801 5.55E−02 8 94 WNU61 0.738 9.38E−02 8 2 WNU61 0.746 2.09E−028 48 WNU61 0.890 3.09E−03 8 33 WNU61 0.730 9.95E−02 8 64 WNU61 0.7143.08E−02 8 43 WNU61 0.735 3.78E−02 8 87 WNU61 0.700 5.31E−02 8 91 WNU610.929 1.03E−04 9 81 WNU61 0.746 5.41E−02 9 7 WNU61 0.813 4.21E−03 9 85WNU61 0.922 1.49E−04 9 83 WNU61 0.825 3.27E−03 9 37 WNU61 0.755 1.16E−029 4 WNU61 0.734 2.43E−02 9 25 WNU61 0.904 3.31E−04 9 82 WNU61 0.8454.14E−03 9 79 WNU61 0.831 2.88E−03 9 86 WNU61 0.716 1.98E−02 9 15 WNU610.866 1.17E−02 9 88 WNU61 0.866 2.54E−03 9 71 WNU61 0.755 1.16E−02 9 32WNU61 0.778 1.35E−02 9 91 WNU61 0.785 1.22E−02 9 93 WNU61 0.779 3.89E−029 39 WNU61 0.852 1.48E−02 1 34 WNU61 0.722 1.84E−02 1 10 WNU61 0.9596.40E−04 1 92 WNU61 0.738 1.48E−02 1 60 WNU61 0.703 7.80E−02 1 36 WNU610.736 2.38E−02 1 1 WNU61 0.720 6.78E−02 1 70 WNU61 0.799 3.12E−02 1 88WNU61 0.779 7.88E−03 1 59 WNU61 0.757 1.82E−02 1 75 WNU61 0.720 1.88E−024 67 WNU61 0.780 2.23E−02 4 34 WNU61 0.737 3.70E−02 4 92 WNU61 0.7296.30E−02 2 34 WNU61 0.806 8.74E−03 2 79 WNU61 0.901 5.67E−03 2 36 WNU610.904 5.17E−03 2 70 WNU61 0.724 2.73E−02 2 69 WNU61 0.716 2.99E−02 2 35WNU63 0.727 6.39E−02 3 34 WNU63 0.819 3.77E−03 3 81 WNU63 0.851 1.78E−033 83 WNU63 0.824 2.26E−02 3 7 WNU63 0.769 1.54E−02 3 25 WNU63 0.7561.14E−02 3 37 WNU63 0.780 1.31E−02 3 6 WNU63 0.783 3.72E−02 3 92 WNU630.810 8.13E−03 3 79 WNU63 0.757 1.12E−02 3 82 WNU63 0.764 1.65E−02 3 91WNU63 0.726 2.67E−02 3 71 WNU63 0.748 5.30E−02 8 73 WNU63 0.742 5.60E−023 39 WNU63 0.773 4.16E−02 8 76 WNU63 0.879 1.82E−03 8 16 WNU63 0.8691.11E−02 8 89 WNU63 0.738 2.31E−02 8 12 WNU63 0.786 1.21E−02 8 85 WNU630.976 8.26E−04 8 7 WNU63 0.706 3.35E−02 8 37 WNU63 0.763 1.68E−02 8 8WNU63 0.80 1 3.05E−02 8 23 WNU63 0.750 5.23E−02 8 95 WNU63 0.8431.72E−02 8 80 WNU63 0.869 1.11E−02 8 77 WNU63 0.827 2.16E−02 8 26 WNU630.816 2.51E−02 8 24 WNU63 0.971 1.22E−03 8 88 WNU63 0.813 2.64E−02 8 27WNU63 0.896 2.61E−03 8 91 WNU63 0.717 4.51E−02 8 71 WNU63 0.784 2.12E−028 93 WNU63 0.794 3.28E−02 8 74 WNU63 0.749 2.01E−02 9 73 WNU63 0.7021.20E−01 8 39 WNU63 0.704 3.42E−02 9 76 WNU63 0.715 2.02E−02 9 16 WNU630.799 9.79E−03 9 95 WNU63 0.729 2.59E−02 9 28 WNU63 0.844 1.69E−02 9 36WNU63 0.727 1.72E−02 9 84 WNU63 0.840 1.79E−02 9 70 WNU63 0.716 3.01E−029 24 WNU63 0.844 4.26E−03 9 69 WNU63 0.763 1.68E−02 9 27 WNU63 0.8692.34E−03 9 35 WNU63 0.838 4.83E−03 9 74 WNU63 0.872 1.02E−03 1 82 WNU630.755 1.16E−02 1 83 WNU63 0.786 7.08E−03 1 86 WNU63 0.823 6.40E−03 1 79WNU63 0.867 2.45E−03 1 91 WNU63 0.723 2.78E−02 1 78 WNU63 0.882 3.71E−034 73 WNU63 0.773 4.18E−02 1 39 WNU63 0.749 1.27E−02 4 37 WNU63 0.9211.14E−03 4 89 WNU63 0.786 7.02E−03 4 82 WNU63 0.874 4.51E−03 4 77 WNU630.917 1.33E−03 4 24 WNU63 0.749 3.23E−02 4 79 WNU63 0.716 4.58E−02 4 70WNU63 0.857 6.51E−03 4 26 WNU63 0.914 2.13E−04 4 91 WNU63 0.863 5.76E−034 78 WNU63 0.725 1.77E−02 2 82 WNU63 0.768 4.40E−02 4 39 WNU63 0.8182.46E−02 2 36 WNU63 0.753 1.91E−02 2 79 WNU63 0.746 2.10E−02 2 91 WNU630.787 3.57E−02 2 70 WNU63 0.703 7.81E−02 2 39 WNU63 0.701 3.53E−02 2 35WNU65 0.867 2.50E−03 3 25 WNU65 0.710 7.38E−02 3 34 WNU65 0.891 1.25E−033 79 WNU65 0.722 1.85E−02 3 82 WNU65 0.806 2.86E−02 3 70 WNU65 0.7843.69E−02 3 36 WNU65 0.738 2.32E−02 3 71 WNU65 0.765 1.63E−02 3 29 WNU650.714 3.08E−02 8 16 WNU65 0.910 4.38E−03 8 73 WNU65 0.817 2.49E−02 8 28WNU65 0.943 1.45E−03 8 76 WNU65 0.922 3.13E−03 8 89 WNU65 0.798 9.98E−038 81 WNU65 0.876 1.97E−03 8 85 WNU65 0.788 6.25E−02 8 94 WNU65 0.8701.10E−02 8 30 WNU65 0.797 1.01E−02 8 83 WNU65 0.952 9.24E−04 8 95 WNU650.711 3.18E−02 8 37 WNU65 0.951 1.02E−03 8 23 WNU65 0.831 2.05E−02 8 25WNU65 0.827 6.00E−03 8 82 WNU65 0.867 1.14E−02 8 77 WNU65 0.884 1.56E−038 86 WNU65 0.746 5.44E−02 8 79 WNU65 0.951 9.70E−04 8 26 WNU65 0.9193.46E−03 8 24 WNU65 0.964 4.74E−04 8 27 WNU65 0.715 3.04E−02 8 11 WNU650.876 4.38E−03 8 93 WNU65 0.974 2.03E−04 8 74 WNU65 0.708 3.27E−02 9 93WNU65 0.762 4.66E−02 9 94 WNU65 0.861 1.38E−03 1 81 WNU65 0.741 1.42E−029 49 WNU65 0.793 6.24E−03 1 83 WNU65 0.863 1.30E−03 1 85 WNU65 0.7222.80E−02 1 6 WNU65 0.877 8.52E−04 1 37 WNU65 0.711 7.35E−02 1 70 WNU650.731 1.63E−02 1 86 WNU65 0.733 3.87E−02 4 94 WNU65 0.806 8.76E−03 1 93WNU65 0.766 2.66E−02 4 36 WNU65 0.761 2.84E−02 4 79 WNU65 0.724 1.79E−024 91 WNU65 0.771 2.52E−02 4 70 WNU65 0.868 2.43E−03 2 76 WNU65 0.7022.37E−02 4 93 WNU65 0.753 1.19E−02 2 85 WNU65 0.755 4.99E−02 2 94 WNU650.730 1.65E−02 2 37 WNU65 0.703 2.34E−02 2 10 WNU65 0.839 4.68E−03 2 23WNU65 0.756 1.83E−02 2 95 WNU65 0.702 3.52E−02 2 63 WNU65 0.702 3.51E−022 80 WNU65 0.756 1.83E−02 2 74 WNU65 0.831 5.53E−03 2 27 WNU66 0.8232.29E−02 3 7 WNU65 0.823 6.42E−03 2 93 WNU66 0.813 2.62E−02 8 73 WNU660.819 2.42E−02 3 92 WNU66 0.788 3.53E−02 8 89 WNU66 0.751 5.17E−02 8 76WNU66 0.705 3.38E−02 8 20 WNU66 0.729 2.59E−02 8 50 WNU66 0.735 2.40E−028 62 WNU66 0.854 1.45E−02 8 90 WNU66 0.845 1.67E−02 8 77 WNU66 0.7057.67E−02 8 23 WNU66 0.749 5.28E−02 8 26 WNU66 0.752 5.13E−02 8 24 WNU660.904 1.33E−02 8 55 WNU66 0.829 2.12E−02 8 96 WNU66 0.820 1.28E−02 8 91WNU66 0.764 1.65E−02 8 51 WNU66 0.786 3.60E−02 9 34 WNU66 0.735 9.63E−028 39 WNU66 0.781 3.83E−02 9 2 WNU66 0.714 3.08E−02 9 90 WNU66 0.9322.19E−03 9 36 WNU66 0.787 1.19E−02 9 79 WNU66 0.713 2.07E−02 9 61 WNU660.948 1.16E−03 9 70 WNU66 0.725 4.20E−02 4 25 WNU66 0.741 1.43E−02 1 46WNU66 0.776 1.40E−02 2 76 WNU66 0.885 1.49E−03 2 73 WNU66 0.947 1.09E−042 89 WNU66 0.759 1.09E−02 2 81 WNU66 0.780 7.74E−03 2 83 WNU66 0.7435.59E−02 2 7 WNU66 0.791 1.10E−02 2 23 WNU66 0.838 2.48E−03 2 37 WNU660.854 1.66E−03 2 82 WNU66 0.942 1.42E−04 2 77 WNU66 0.856 1.59E−03 2 86WNU66 0.770 1.53E−02 2 80 WNU66 0.900 9.36E−04 2 26 WNU66 0.932 2.59E−042 24 WNU66 0.728 1.69E−02 2 11 WNU66 0.822 6.57E−03 2 78 WNU66 0.8692.38E−03 2 91 WNU66 0.760 1.75E−02 2 27 WNU67 0.725 2.70E−02 8 67 WNU660.929 2.46E−03 2 39 WNU67 0.791 3.40E−02 8 90 WNU67 0.757 1.81E−02 8 50WNU67 0.914 5.63E−04 8 60 WNU67 0.740 9.28E−02 8 2 WNU67 0.886 1.46E−038 68 WNU67 0.901 5.62E−03 8 96 WNU67 0.754 1.88E−02 8 51 WNU67 0.7045.12E−02 8 63 WNU67 0.805 8.93E−03 8 59 WNU67 0.750 3.20E−02 8 87 WNU670.814 2.60E−02 9 70 WNU67 0.826 2.20E−02 9 36 WNU67 0.795 5.98E−03 4 54WNU67 0.796 5.92E−03 4 56 WNU67 0.724 1.79E−02 2 62 WNU67 0.735 2.41E−022 90 WNU67 0.804 2.92E−02 2 70 WNU67 0.824 2.25E−02 2 36 WNU67 0.7654.52E−02 2 88 WNU67 0.705 3.41E−02 2 96 WNU68 0.916 5.12E−04 8 81 WNU680.832 2.03E−02 3 7 WNU68 0.926 3.36E−04 8 83 WNU68 0.809 8.25E−03 8 85WNU68 0.940 1.63E−04 8 82 WNU68 0.831 5.46E−03 8 37 WNU68 0.821 1.25E−028 71 WNU68 0.917 5.10E−04 8 86 WNU68 0.850 7.46E−03 8 93 WNU68 0.8261.14E−02 8 91 WNU68 0.897 1.06E−03 9 73 WNU68 0.787 6.35E−02 8 39 WNU680.739 2.29E−02 9 89 WNU68 0.809 8.27E−03 9 76 WNU68 0.853 3.49E−03 9 77WNU68 0.767 1.58E−02 9 95 WNU68 0.810 8.07E−03 9 26 WNU68 0.772 1.47E−029 24 WNU68 0.748 1.29E−02 1 81 WNU68 0.745 2.11E−02 9 74 WNU68 0.8183.85E−03 1 83 WNU68 0.710 3.21E−02 1 89 WNU68 0.807 8.59E−03 1 25 WNU680.794 6.14E−03 1 37 WNU68 0.886 1.47E−03 1 79 WNU68 0.877 8.67E−04 1 82WNU68 0.769 1.54E−02 1 78 WNU68 0.785 7.11E−03 1 86 WNU68 0.954 6.41E−051 91 WNU68 0.743 2.17E−02 1 71 WNU68 0.759 1.77E−02 1 35 WNU68 0.7113.19E−02 1 69 WNU68 0.832 2.84E−03 4 81 WNU68 0.833 2.00E−02 1 39 WNU680.727 4.10E−02 4 89 WNU68 0.790 6.52E−03 4 12 WNU68 0.733 3.85E−02 4 94WNU68 0.745 1.34E−02 4 14 WNU68 0.833 2.80E−03 4 8 WNU68 0.844 2.14E−034 85 WNU68 0.872 1.00E−03 4 37 WNU68 0.844 2.16E−03 4 83 WNU68 0.7592.90E−02 4 77 WNU68 0.837 9.60E−03 4 25 WNU68 0.762 2.79E−02 4 80 WNU680.761 1.05E−02 4 82 WNU68 0.707 4.98E−02 4 24 WNU68 0.777 8.18E−03 4 86WNU68 0.792 6.32E−03 4 91 WNU68 0.729 1.68E−02 4 71 WNU68 0.927 2.62E−034 39 WNU68 0.803 5.11E−03 4 93 WNU68 0.702 2.37E−02 2 14 WNU68 0.7641.66E−02 2 89 WNU68 0.750 1.26E−02 2 37 WNU68 0.788 3.52E−02 2 7 WNU680.793 1.07E−02 2 80 WNU68 0.707 3.33E−02 2 77 WNU68 0.775 1.41E−02 2 91WNU68 0.742 2.20E−02 2 78 WNU69 0.708 7.49E−02 3 88 WNU69 0.888 7.53E−033 34 WNU69 0.781 7.62E−03 9 14 WNU69 0.796 5.83E−03 9 9 WNU69 0.7728.90E−03 9 83 WNU69 0.788 3.52E−02 9 7 WNU69 0.788 1.17E−02 9 25 WNU690.713 2.07E−02 9 37 WNU69 0.743 1.38E−02 9 82 WNU69 0.863 2.73E−03 9 6WNU69 0.834 5.24E−03 9 71 WNU69 0.793 6.19E−03 9 86 WNU69 0.317 2.96E−029 35 WNU69 0.839 4.74E−03 9 93 WNU69 0.929 1.01E−04 1 81 WNU69 0.7744.11E−02 9 39 WNU69 0.862 1.33E−03 1 83 WNU69 0.885 6.73E−04 1 85 WNU690.736 1.53E−02 1 4 WNU69 0.858 1.51E−03 1 37 WNU69 0.773 8.70E−03 1 86WNU69 0.809 4.57E−03 1 82 WNU69 0.720 2.88E−02 1 71 WNU69 0.720 1.88E−021 15 WNU69 0.835 5.12E−03 1 91 WNU69 0.736 1.53E−02 1 32 WNU69 0.7495.27E−02 1 39 WNU69 0.747 2.08E−02 1 93 WNU69 0.912 2.33E−04 2 81 WNU690.734 1.56E−02 2 16 WNU69 0.864 1.26E−03 2 83 WNU69 0.837 2.53E−03 2 85WNU69 0.741 2.24E−02 2 77 WNU69 0.885 6.64E−04 2 37 WNU69 0.753 1.20E−022 86 WNU69 0.740 1.45E−02 2 82 WNU69 0.756 1.85E−02 2 91 WNU69 0.8177.13E−03 2 71 WNU69 0.820 2.38E−02 2 39 WNU69 0.795 1.05E−02 2 93 WNU700.815 2.55E−02 3 34 WNU70 0.866 1.20E−03 3 50 WNU70 0.844 3.45E−02 8 64WNU70 0.888 6.09E−04 3 61 WNU70 0.762 1.71E−02 8 13 WNU70 0.704 1.18E−018 72 WNU70 0.742 5.64E−02 9 7 WNU70 0.780 7.78E−03 9 81 WNU70 0.7321.60E−02 9 37 WNU70 0.841 2.32E−03 9 83 WNU70 0.835 5.10E−03 9 25 WNU700.749 5.25E−02 9 2 WNU70 0.908 7.22E−04 9 79 WNU70 0.849 1.87E−03 9 82WNU70 0.819 6.91E−03 9 71 WNU70 0.745 1.33E−02 9 86 WNU70 0.747 2.08E−029 69 WNU70 0.779 1.33E−02 9 91 WNU70 0.812 4.36E−03 1 12 WNU70 0.8122.65E−02 9 39 WNU70 0.730 1.66E−02 1 42 WNU70 0.783 7.42E−03 1 8 WNU700.739 1.47E−02 1 47 WNU70 0.859 1.46E−03 1 68 WNU70 0.709 3.26E−02 1 75WNU70 0.782 7.46E−03 1 59 WNU70 0.707 2.22E−02 1 5 WNU70 0.720 1.88E−021 46 WNU70 0.777 8.20E−03 4 4 WNU70 0.725 1.76E−02 4 56 WNU70 0.8507.50E−03 4 79 WNU70 0.791 1.94E−02 4 25 WNU70 0.828 3.08E−03 4 15 WNU700.747 3.33E−02 4 36 WNU70 0.726 1.75E−02 4 54 WNU70 0.745 3.38E−02 4 70WNU70 0.709 4.90E−02 4 75 WNU70 0.777 8.20E−03 4 32 WNU70 0.718 1.94E−022 37 WNU70 0.774 8.54E−03 2 81 WNU71 0.756 1.83E−02 3 75 WNU71 0.7465.39E−02 3 64 WNU71 0.707 7.57E−02 8 26 WNU71 0.785 3.63E−02 3 72 WNU710.790 1.13E−02 9 90 WNU71 0.715 1.10E−01 8 88 WNU71 0.837 2.53E−03 4 48WNU71 0.747 5.35E−02 9 2 WNU71 0.738 1.49E−02 4 91 WNU71 0.768 9.47E−034 43 WNU72 0.757 1.81E−02 3 25 WNU71 0.728 2.62E−02 2 1 WNU72 0.8172.48E−02 3 70 WNU72 0.805 2.90E−02 3 36 WNU72 0.756 1.83E−02 3 69 WNU720.703 3.45E−02 3 71 WNU72 0.783 3.75E−02 3 72 WNU72 0.786 1.21E−02 3 35WNU72 0.778 6.83E−02 8 64 WNU72 0.712 3.16E−02 8 15 WNU72 0.707 3.31E−028 13 WNU72 0.769 4.32E−02 8 96 WNU72 0.939 5.58E−05 9 10 WNU72 0.9161.94E−04 9 67 WNU72 0.706 3.35E−02 9 79 WNU72 0.962 8.93E−06 9 84 WNU720.836 1.91E−02 9 70 WNU72 0.838 1.85E−02 9 36 WNU72 0.701 2.38E−02 9 11WNU72 0.734 1.57E−02 9 68 WNU72 0.864 2.69E−03 9 35 WNU72 0.843 4.33E−039 69 WNU72 0.726 6.49E−02 9 39 WNU72 0.898 4.25E−04 9 66 WNU72 0.8193.72E−03 1 10 WNU72 0.722 1.84E−02 1 67 WNU72 0.908 7.17E−04 1 79 WNU720.822 6.54E−03 1 25 WNU72 0.712 3.13E−02 1 1 WNU72 0.937 1.88E−03 1 36WNU72 0.786 1.20E−02 1 69 WNU72 0.928 2.53E−03 1 70 WNU72 0.784 1.24E−021 35 WNU72 0.734 2.43E−02 1 75 WNU72 0.896 2.62E−03 4 7 WNU72 0.7261.76E−02 1 66 WNU72 0.756 3.01E−02 4 36 WNU72 0.759 2.90E−02 4 92 WNU720.722 4.31E−02 4 72 WNU72 0.727 4.09E−02 4 70 WNU72 0.751 1.96E−02 2 89WNU72 0.741 2.23E−02 2 73 WNU72 0.833 2.00E−02 2 36 WNU72 0.737 2.35E−022 77 WNU72 0.809 2.75E−02 2 70 WNU72 0.754 1.89E−02 2 24 WNU72 0.8147.53E−03 2 69 WNU72 0.747 5.37E−02 2 55 WNU73 0.701 3.55E−02 8 67 WNU720.751 1.98E−02 2 35 WNU73 0.794 5.94E−02 8 2 WNU73 0.720 2.87E−02 8 10WNU73 0.890 3.07E−03 8 63 WNU73 0.824 6.27E−03 8 60 WNU73 0.823 3.45E−039 67 WNU73 0.760 1.74E−02 8 59 WNU73 0.775 8.48E−03 9 66 WNU73 0.7936.25E−03 9 10 WNU73 0.849 1.87E−03 1 10 WNU73 0.732 1.61E−02 1 67 WNU730.756 1.14E−02 4 63 WNU73 0.814 7.54E−03 1 63 WNU73 0.786 3.63E−02 2 36WNU73 0.746 5.44E−02 2 2 WNU74 0.742 5.61E−02 3 34 WNU73 0.774 4.09E−022 70 WNU74 0.764 4.58E−02 3 92 WNU74 0.714 7.15E−02 3 2 WNU74 0.8232.30E−02 3 70 WNU74 0.794 3.30E−02 3 36 WNU74 0.788 3.51E−02 8 90 WNU740.860 2.93E−03 8 50 WNU74 0.848 3.27E−02 8 2 WNU74 0.908 7.07E−04 8 62WNU74 0.898 1.00E−03 8 61 WNU74 0.836 1.92E−02 8 96 WNU74 0.784 3.69E−029 34 WNU74 0.944 1.28E−04 8 51 WNU74 0.717 2.98E−02 9 25 WNU74 0.8252.24E−02 9 2 WNU74 0.923 2.99E−03 9 36 WNU74 0.859 3.02E−03 9 79 WNU740.736 1.53E−02 9 66 WNU74 0.932 2.21E−03 9 70 WNU74 0.794 3.32E−02 1 2WNU74 0.705 2.27E−02 1 50 WNU74 0.710 2.15E−02 1 61 WNU74 0.762 1.71E−021 1 WNU74 0.804 1.63E−02 4 89 WNU74 0.885 3.47E−03 4 73 WNU74 0.7543.07E−02 4 77 WNU74 0.701 5.27E−02 4 25 WNU74 0.773 2.44E−02 4 26 WNU740.797 1.79E−02 4 24 WNU74 0.742 5.64E−02 2 34 WNU74 0.722 1.05E−01 4 55WNU74 0.830 2.08E−02 2 92 WNU74 0.712 7.27E−02 2 7 WNU74 0.776 8.33E−032 82 WNU74 0.852 3.54E−03 2 6 WNU74 0.754 5.05E−02 2 36 WNU74 0.7611.72E−02 2 79 WNU74 0.907 4.85E−03 2 88 WNU74 0.736 5.94E−02 2 70 WNU740.703 3.47E−02 2 69 WNU74 0.741 2.24E−02 2 91 WNU74 0.714 3.06E−02 2 35“Corr. ID”—correlation set ID according to the correlated parametersTable 59 above. “Exp. Set”—Expression set. “R” = Pearson correlationcoefficient; “P” = p value.

TABLE 63 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal fertilization conditions across foxtail milletaccessions Cor. Cor. Gene Exp. Set Gene Exp. Set Name R P value set IDName R P value set ID WNU1 0.722 1.84E−02 3 35 WNU1 0.722 1.84E−02 3 42WNU1 0.853 3.49E−03 2 29 WNU1 0.853 3.43E−03 2 33 WNU1 0.715 3.05E−02 230 WNU1 0.844 4.24E−03 2 40 WNU1 0.873 2.11E−03 2 32 WNU1 0.775 2.38E−0211 1 WNU1 0.768 9.51E−03 11 56 WNU1 0.735 5.96E−02 9 52 WNU1 0.7731.45E−02 12 62 WNU1 0.726 4.14E−02 12 54 WNU53 0.703 1.19E−01 8 41 WNU530.714 3.06E−02 4 7 WNU53 0.937 1.82E−03 4 54 WNU53 0.914 1.51E−03 3 4WNU53 0.834 1.97E−02 2 4 WNU53 0.900 9.31E−04 5 46 WNU53 0.724 6.57E−025 20 WNU53 0.861 2.86E−03 5 7 WNU53 0.872 4.73E−03 5 4 WNU53 0.8039.21E−03 5 45 WNU53 0.755 5.00E−02 5 53 WNU53 0.708 2.21E−02 11 29 WNU530.713 2.06E−02 11 33 WNU53 0.942 4.78E−04 11 43 WNU53 0.718 1.93E−02 117 WNU53 0.730 3.99E−02 11 19 WNU53 0.740 1.44E−02 1 26 WNU53 0.7801.32E−02 1 19 WNU53 0.894 2.75E−03 1 62 WNU53 0.714 2.03E−02 1 56 WNU530.823 6.49E−03 9 46 WNU53 0.827 5.95E−03 9 29 WNU53 0.846 4.06E−03 9 33WNU53 0.838 9.46E−03 9 43 WNU53 0.778 1.37E−02 9 7 WNU53 0.778 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1.82E−03 3 55 WNU72 0.7201.89E−02 3 58 WNU72 0.761 1.06E−02 3 33 WNU72 0.826 3.24E−03 3 7 WNU720.712 3.14E−02 3 22 WNU72 0.758 1.12E−02 3 57 WNU72 0.724 1.79E−02 3 26WNU72 0.799 9.74E−03 3 19 WNU72 0.802 1.66E−02 3 62 WNU72 0.732 1.61E−023 45 WNU72 0.731 1.63E−02 3 56 WNU72 0.843 4.31E−03 2 55 WNU72 0.8473.98E−03 2 58 WNU72 0.853 1.46E−02 2 48 WNU72 0.777 1.38E−02 2 57 WNU720.823 6.37E−03 2 26 WNU72 0.732 6.16E−02 2 19 WNU72 0.834 1.96E−02 2 62WNU72 0.727 2.64E−02 2 56 WNU72 0.730 3.98E−02 2 59 WNU72 0.881 8.76E−035 22 WNU72 0.707 4.97E−02 5 48 WNU72 0.810 4.52E−03 11 30 WNU72 0.7313.95E−02 11 19 WNU72 0.745 3.39E−02 1 24 WNU72 0.845 4.09E−03 1 22 WNU720.729 4.03E−02 1 60 WNU72 0.741 2.22E−02 1 54 WNU72 0.701 5.27E−02 9 48WNU72 0.749 1.27E−02 12 46 WNU72 0.778 8.00E−03 12 11 WNU72 0.7152.00E−02 12 7 WNU72 0.786 6.97E−03 12 45 WNU73 0.703 3.47E−02 5 46 WNU730.725 4.19E−02 5 43 WNU73 0.749 2.01E−02 5 14 WNU73 0.729 1.68E−02 11 29WNU73 0.713 2.05E−02 11 33 WNU73 0.743 1.38E−02 11 32 WNU73 0.7082.20E−02 1 29 WNU73 0.709 2.17E−02 1 40 WNU73 0.829 5.70E−03 9 46 WNU730.896 2.57E−03 9 43 WNU73 0.753 1.92E−02 9 7 WNU73 0.715 3.03E−02 9 14WNU73 0.759 1.77E−02 9 45 WNU73 0.746 2.10E−02 12 43 WNU74 0.7445.51E−02 4 22 WNU74 0.776 1.40E−02 4 40 WNU74 0.727 1.72E−02 3 34 WNU740.713 3.09E−02 2 11 WNU74 0.776 1.39E−02 2 55 WNU74 0.837 1.89E−02 2 48WNU74 0.716 2.99E−02 2 26 WNU74 0.810 2.73E−02 2 19 WNU74 0.730 6.25E−022 62 WNU74 0.723 2.78E−02 2 45 WNU74 0.782 3.77E−02 2 54 WNU74 0.7117.33E−02 5 54 WNU74 0.807 8.63E−03 9 40 WNU74 0.763 1.03E−02 12 29 WNU740.766 9.79E−03 12 33 WNU74 0.825 6.23E−03 12 43 WNU74 0.744 1.35E−02 1240 Table 63. “Corr. ID”—correlation set ID according to the correlatedparameters Table 58 above. “Exp. Set”—Expression set. “R” = Pearsoncorrelation coefficient; “P” = p value.

Example 13 Production of Wheat Transcriptome and High ThroughputCorrelation Analysis Using 60K Wheat Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparingbetween plant phenotype and gene expression level, the present inventorsutilized a Wheat oligonucleotide micro-array, produced by AgilentTechnologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot)asp?1Page=50879]. The array oligonucleotide represents about 60K Wheatgenes and transcripts. In order to define correlations between thelevels of RNA expression and yield or vigor related parameters, variousplant characteristics of 14 different Wheat accessions were analyzed.Among them, 10 accessions encompassing the observed variance wereselected for RNA expression analysis. The correlation between the RNAlevels and the characterized parameters was analyzed using Pearsoncorrelation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].

Experimental Procedures

14 Wheat accessions in 5 repetitive blocks, each containing 8 plants perpot were grown at net house. Three different treatments were applied:plants were regularly fertilized and watered during plant growth untilharvesting (as recommended for commercial growth, plants were irrigated2-3 times a week, and fertilization was given in the first 1.5 months ofthe growth period) or under low Nitrogen (70% percent less Nitrogen) orunder drought stress (cycles of drought and re-irrigating were conductedthroughout the whole experiment, overall 40% less water were given inthe drought treatment).

Analyzed Wheat tissues—Five tissues at different developmental stages[leaf, stem, root tip and adventitious root, flower], representingdifferent plant characteristics, were sampled and RNA was extracted asdescribed above. Each micro-array expression information tissue type hasreceived a Set ID as summarized in Table 64 below.

TABLE 64 Wheat transcriptome expression sets under normal conditionsExpression Set Set ID adv root : Normal: first tillering: 1 basal lemma:Normal: grain filling: 2 basal spike: Normal: flowering: 3 basal spike:Normal: grain filling: 4 leaf: Normal: flowering: 5 leaf: Normal: grainfilling: 6 root tip: Normal: first tillering: 7 stem: Normal: flowering:8 stem: Normal: grain filling: 9 Table 64. Provided are the wheattranscriptome expression sets under normal conditions.

TABLE 65 Wheat transcriptome expression sets under low N conditionsExpression Set Set ID adv root: Low N: first tillering 1 basal spike:Low N: flowering 2 basal spike: Low N: grain filling 3 leaf: Low N:flowering 4 leaf: Low N:grain filling 5 root tip: Low N: first tillering6 wheat/evogene exp848 Low N/stem: Low N: flowering 7 wheat/evogeneexp848 Low N/stem: Low N: grain filling 8 Table 65. Provided are thewheat transcriptome expression sets under low N conditions.

TABLE 66 Wheat transcriptome expression sets low N vs. normal conditionsExpression Set Set ID Low N vs. normal/adv root: Low N: first tillering1 Low N vs. normal/basal spike: Low N: flowering 2 Low N vs.normal/basal spike :Low N: grain filling 3 Low N vs. normal/leaf: Low N:flowering 4 Low N vs. normal/leaf: Low N: grain filling 5 Low N vs.normal/root tip: Low N: first tillering 6 Low N vs. normal/stem: Low N:flowering 7 Low N vs. normal/stem: Low N: grain filling 8 Table 66.Provided are the wheat transcriptome expression sets at low N versus(vs.) normal conditions.

Wheat yield components and vigor related parameters assessment—Plantswere phenotyped on a daily basis following the parameters listed inTables 67-68 below. Harvest was conducted while all the spikes were dry.All material was oven dried and the seeds were threshed manually fromthe spikes prior to measurement of the seed characteristics (weight andsize) using scanning and image analysis. The image analysis systemincluded a personal desktop computer (Intel P4 3.0 GHz processor) and apublic domain program—ImageJ 1.37 (Java based image processing program,which was developed at the U.S. National Institutes of Health and freelyavailable on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzeddata was saved to text files and processed using the JMP statisticalanalysis software (SAS institute).

Grain yield (gr.)—At the end of the experiment all spikes of the potswere collected. The total grains from all spikes that were manuallythreshed were weighted. The grain yield was calculated by per plot orper plant.

Spike length and width analysis—At the end of the experiment the lengthand width of five chosen spikes per plant were measured using measuringtape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height usingmeasuring tape. Height was measured from ground level to top of thelongest spike excluding awns at two time points at the Vegetative growth(30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated,measured and divided by the number of plants.

Dry weight—total weight of the vegetative portion above ground(excluding roots) after drying at 70° C. in oven for 48 hours at twotime points at the Vegetative growth (30 days after sowing) and atharvest.

Spikelet per spike—number of spikelets per spike was counted.

Root/Shoot Ratio—The Root/Shoot Ratio is calculated using Formula XXIIdescribed above.

Total No. of tillers—all tillers were counted per plot at two timepoints at the Vegetative growth (30 days after sowing) and at harvest.

Node number—number of nodes in the main stem.

Percent of reproductive tillers—the number of reproductive tillersbarring a spike at harvest was divided by the total numbers of tillers.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502chlorophyll meter and measurement was performed at time of flowering.SPAD meter readings were done on young fully developed leaf. Threemeasurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and No. of lateral roots—3 plants perplot were selected for measurement of root weight, root length and forcounting the number of lateral roots formed.

Shoot FW (fresh weight)—weight of 3 plants per plot were recorded atdifferent time-points.

Average Grain Area (cm²)—At the end of the growing period the grainswere separated from the spike. A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The grain area was measured from those images and wasdivided by the number of grains.

Average Grain Length and width (cm)—At the end of the growing period thegrains were separated from the spike. A sample of ˜200 grains wasweighted, photographed and images were processed using the belowdescribed image processing system. The sum of grain lengths or width(longest axis) was measured from those images and was divided by thenumber of grains.

Average Grain perimeter (cm)—At the end of the growing period the grainswere separated from the spike. A sample of ˜200 grains was weighted,photographed and images were processed using the below described imageprocessing system. The sum of grain perimeter was measured from thoseimages and was divided by the number of grains.

Heading date—the day in which booting stage was observed was recordedand number of days from sowing to heading was calculated.

Relative water content—Fresh weight (FW) of three leaves from threeplants each from different seed ID was immediately recorded; then leaveswere soaked for 8 hours in distilled water at room temperature in thedark, and the turgid weight (TW) was recorded. Total dry weight (DW) wasrecorded after drying the leaves at 60° C. to a constant weight.Relative water content (RWC) is calculated according to Formula I above.Tiller abortion rate (hd to F)—difference between tiller number atheading and tillet number at flowering divided by tiller number atheading.Tiller abortion rate—difference between tiller number at harvest andtillet number at flowering divided by tiller number at flowering.Grain N (H)—% N content of dry matter in the grain at harvest.Head N (GF)—% N content of dry matter in the head at grainfilling.Total shoot N—calculated as the % N content multiplied by the weight ofplant shoot.Total grain N—calculated as the % N content multiplied by the weight ofplant grain yield.NUE [kg/kg] (N use efficiency)—is the ratio between total grain yieldper total N applied in soil.NUpE [kg/kg] (N uptake efficiency)—is the ratio between total plantbiomass per total N applied in soil.

Grain NUtE (N utilization efficiency)—is the ratio between grain yieldper total shoot N

Total NUtE—is the ratio between grain and shoot biomass per total shootN.

Stem Volume—(lower stem is the lowest internode and upper stem is theinternode just below the head)—calculated volume of internode part.

Stem density—is the ratio between internode dry weight and internodevolume.

NHI (N harvest index)—is the ratio between total grain N and total plantN(=total shoot N+total grain N).

BPE (Biomass production efficiency)—is the ratio between plant biomassand total shoot N.

Grain Fill duration—the difference between number of days to maturityand number of days to flowering.

Harvest Index (for Wheat)—The harvest index was calculated using FormulaXVIII described above.

Growth rate: the growth rate (GR) of Plant Height (Formula III describedabove), SPAD (Formula IV described above) and number of tillers (FormulaV described above) were calculated with the indicated Formulas.

Specific N absorption—N absorbed per root biomass.

Specific root length—root biomass per root length.

Ratio low N/Normal: Represents ratio for the specified parameter ofDrought condition results divided by Normal conditions results(maintenance of phenotype under drought in comparison to normalconditions).

TABLE 67 Wheat correlated parameters under normal and low N conditions(vectors) Correlation set Correlation ID 1000 grain weight [gr] 1 Avrspike DW (SS) [gr] 2 Avr spike DW (flowering) [gr] 3 Avr spike weight(harvest) [gr] 4 BPE 5 Fertile spikelets ratio 6 Grain area [mm²] 7Grain fill duration [days] 8 Grains per plant 9 Grains per spike 10Grains per spikelet 11 Grains weight per plant 12 Grains weight perspike 13 Harvest index 14 Leaf Area [cm²] 15 Leaf Average Width [cm] 16Leaf Length [cm] 17 Leaf Perimeter [cm] 18 Leaves num at tittering 19Leaves num flowering 20 N use efficiency 21 NHI 22 Node Num 23 Num daysHeading (single) 24 Num days to anthesis 25 NupE 26 Peduncle length [cm]27 Peduncle thickness [mm] 28 Plant height [cm] 29 RWC 30 Root length[cm] 31 Roots DW [gr] 32 SPAD early-mid grainfilling 33 SPAD flowering34 SPAD mid-late grainfilling 35 Seminal roots 36 Shoot DW [gr] 37Shoot/Root 38 Spike Area [cm²] 39 Spike Perimeter [cm] 40 Spike length[cm] 41 Spike width [cm] 42 Spikelets per spike 43 Tiller abortion rate44 Tittering (Flowering) 45 Tittering (Heading) 46 Tittering (Tittering)47 Total dry matter [gr] 48 Total Leaf Area [cm²] 49 Vegetative DW(Harvest) [gr] 50 field awns length [cm] 51 grain NUtE 52 grain protein[%] 53 peduncle volume [cm³] 54 specific N absorption [mg/gr] 55specific root length [gr/cm] 56 tiller abortion rate (hd to F) 57 totalNUtE 58 total grain N 59 total shoot N 60 Table 67. Provided are thewheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW”= fresh weight; “Low N” = Low Nitrogen; ”Relative water content[percent]; “num” = number.

TABLE 68 Wheat correlated parameters under low N conditions vs. normal(vectors) Correlation set Correlation ID 1000 grain weight [gr] 1 BPE 2Fertile spikelets ratio 3 Grain area [mm²] 4 Grain fill duration [days]5 Grains per spike 6 Grains per spikelet 7 Grains weight per spike 8 Nuse efficiency 9 NHI 10 NupE 11 Peduncle thickness [mm] 12 Root length[cm] 13 SPAD early-mid grainfilling 14 SPAD flowering 15 Seminal roots16 Spikelets per spike 17 Tiller abortion rate 18 grain NUtE 19 grainprotein [%] 20 peduncle volume [cm³] 21 specific N absorption [mg/gr] 22specific root length [gr/cm] 23 tiller abortion rate (hd to F) 24 totalNUtE 25 total grain N [mg] 26 total shoot N [mg] 27 Table 68. Providedare the wheat correlated parameters. “TP” = time point; “DW” = dryweight; “FW” = fresh weight; “Low N” = Low Nitrogen; “RWC” = Relativewater content [percent].

Experimental Results

Fourteen different Wheat accessions were grown and characterized fordifferent parameters as described above. Tables 67-68 describe the wheatcorrelated parameters. The average for each of the measured parameterwas calculated using the JMP software and values are summarized inTables 69-71 below. Subsequent correlation analysis between the varioustranscriptome sets and the average parameters was conducted (Tables72-74). Follow, results were integrated to the database.

TABLE 69 Measured parameters of correlation IDs in wheat accessionsunder normal conditions Cor. ID/ Line L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8L-9 L-10 L-11 L-12 L-13 L-14 1 24.81 19.31 11.63 29.68 9.24 21.05 22.1415.08 13.61 20.71 33.52 16.66 12.74 13.43 2 1.52 0.84 1.49 2.64 1.231.45 0.66 1.59 1.67 1.96 2.89 1.64 0.62 0.42 3 5.67 0.28 0.31 4.28 0.360.24 NA 0.27 0.28 0.47 9.11 5.11 NA NA 4 1.36 0.89 1.41 2.51 1.01 1.570.51 1.42 1.48 2.06 2.46 1.16 0.44 0.36 5 0.58 0.36 0.34 0.47 0.37 0.61NA 0.58 0.27 0.56 0.83 0.76 NA NA 6 74.09 73.31 81.68 88.72 NA 75.72 NA83.70 87.05 78.99 86.83 75.82 NA NA 7 0.20 0.17 0.15 0.18 0.17 0.19 0.140.20 0.17 0.18 0.20 0.17 0.11 0.11 8 27.89 31.43 NA 30.02 NA 27.75 NA32.84 NA 29.20 27.10 26.48 NA NA 9 94.23 68.65 122.44 123.90 151.23105.13 16.30 106.83 103.09 141.63 139.23 85.38 13.10 18.57 10 19.6913.29 22.77 37.16 21.52 19.41 5.98 20.00 23.41 30.03 34.00 18.49 5.076.60 11 2.17 1.26 2.19 2.93 NA 1.64 NA 1.83 1.93 2.30 2.80 2.28 NA NA 124.54 2.75 3.76 5.93 4.32 4.86 0.48 5.29 4.11 6.01 6.91 3.59 0.40 2.53 130.95 0.53 0.70 1.74 0.59 0.90 0.13 0.96 0.93 1.26 1.69 0.78 0.09 0.77 140.48 0.32 0.28 0.49 0.26 0.35 0.05 0.41 0.33 0.42 0.48 0.45 0.03 0.18 1513.80 19.54 NA 22.46 NA 21.61 NA 25.44 23.31 20.79 16.25 13.46 NA NA 160.86 0.92 NA 1.26 NA 1.05 NA 1.17 1.12 1.19 1.01 0.83 NA NA 17 19.6526.79 NA 22.03 NA 25.53 NA 27.80 25.91 21.67 19.98 19.81 NA NA 18 41.4653.77 NA 48.92 NA 53.08 NA 58.95 54.29 46.10 42.25 40.93 NA NA 19 6.605.60 6.20 6.60 5.80 5.60 6.40 5.40 5.40 5.20 6.00 6.20 5.00 5.00 2018.00 13.00 22.50 11.50 20.75 18.50 NA 11.00 23.75 19.00 12.50 18.75 NANA 21 0.05 0.03 0.04 0.06 0.04 0.05 0.00 0.05 0.04 0.06 0.07 0.04 NA NA22 0.48 0.31 0.24 0.43 0.26 0.45 NA 0.47 0.23 0.40 0.54 0.54 NA NA 234.00 4.43 4.50 4.94 4.27 4.56 NA 4.21 4.57 4.94 4.69 3.94 NA NA 24 60.2269.88 85.25 61.78 83.00 65.78 105.00 68.75 74.29 68.75 58.89 57.11106.25 77.00 25 69.11 73.00 85.25 69.56 86.38 71.25 105.00 71.88 78.0072.38 67.33 68.67 105.00 NA 26 2.50 2.49 4.26 3.59 4.70 3.33 NA 3.284.78 3.51 3.04 1.81 NA NA 27 27.28 30.39 21.21 31.71 26.15 34.07 NA29.78 25.44 27.41 28.13 21.53 NA NA 28 2.61 2.72 3.53 3.31 3.22 3.07 NA3.06 3.25 3.51 3.02 1.92 NA NA 29 45.59 63.41 69.33 62.91 68.03 79.43 NA61.86 62.33 59.18 55.23 44.72 NA NA 30 76.29 NA 82.03 76.11 NA 67.30 NA73.33 NA 70.94 80.72 74.88 NA NA 31 31.10 16.20 28.10 34.06 37.84 26.8831.98 23.42 36.02 38.88 37.20 33.00 22.38 34.60 32 0.89 0.07 0.20 1.010.36 0.50 0.63 0.11 0.16 0.52 1.04 0.54 0.27 0.25 33 37.33 28.34 NA38.71 NA 46.47 NA 38.62 35.80 45.58 46.95 35.32 NA NA 34 38.75 31.0943.30 40.29 45.54 44.93 NA 38.98 36.10 46.43 42.89 34.15 NA NA 35 35.97NA NA 37.21 NA NA NA NA NA NA 46.27 35.81 NA NA 36 11.20 6.00 8.00 11.007.80 7.80 10.20 6.00 6.20 8.20 10.80 7.60 6.60 7.80 37 0.64 0.25 0.460.56 0.43 0.37 0.58 0.34 0.45 0.46 0.52 0.43 0.33 0.39 38 0.72 3.47 2.300.55 1.18 0.74 0.92 3.12 2.76 0.89 0.50 0.78 1.24 1.53 39 9.52 6.27 8.4211.73 7.03 6.51 8.96 9.88 9.43 10.33 12.38 9.53 7.33 8.14 40 22.34 15.8122.47 20.86 26.69 20.43 30.39 20.81 20.89 21.34 22.76 18.72 22.74 27.0241 8.48 6.51 9.54 8.14 10.29 8.51 13.41 8.11 8.25 8.57 9.13 7.46 9.6911.24 42 1.39 1.18 1.12 1.68 0.83 1.02 0.89 1.50 1.43 1.55 1.64 1.521.03 0.92 43 16.24 17.22 19.40 16.93 NA 17.42 NA 16.22 17.25 18.84 19.5616.93 NA NA 44 19.58 −10.00 32.58 −2.31 46.10 41.28 NA −25.88 34.2627.41 1.18 25.60 NA NA 45 6.00 4.75 7.75 3.25 13.13 9.75 NA 4.25 6.756.75 4.25 6.25 NA NA 46 4.00 5.89 7.00 4.24 11.25 6.86 28.0 5.32 5.814.57 3.19 3.43 1.80 2.80 47 2.60 1.80 3.40 2.00 3.40 2.40 28.0 2.20 1.601.80 1.60 2.00 1.80 2.80 48 75.26 62.94 109.09 94.88 128.46 112.16 72.40100.76 100.02 116.56 115.89 63.75 71.40 109.78 49 227.54 111.47 NA176.24 NA 549.02 NA 431.85 231.67 188.34 186.23 269.35 NA NA 50 23.3528.68 57.53 30.57 70.98 52.25 61.70 39.99 47.89 44.82 37.47 20.86 63.48102.17 51 6.46 8.45 6.33 6.56 NA 1.20 NA 8.57 7.47 7.41 6.17 5.30 NA NA52 0.04 0.02 0.01 0.03 0.01 0.03 NA 0.03 0.01 0.03 0.05 0.04 NA NA 5315.12 15.79 15.61 14.94 16.13 17.49 NA 16.67 15.14 13.42 13.60 15.44 NANA 54 1.46 1.76 2.08 2.64 2.13 2.51 NA 2.19 2.11 2.65 2.02 0.62 NA NA 55146.26 2391.37 1626.16 201.95 956.25 367.62 NA 1596.15 2272.98 404.96133.54 154.31 NA NA 56 0.03 0.00 0.01 0.03 0.01 0.02 0.02 0.00 0.00 0.010.03 0.02 NA NA 57 −50.00 19.42 −10.71 23.31 −16.67 −42.19 NA 20.05−16.08 −47.66 −33.21 −82.29 NA NA 58 0.30 0.25 0.26 0.26 0.27 0.34 NA0.31 0.21 0.33 0.38 0.35 NA NA 59 120.32 76.17 102.85 155.55 122.14149.13 0.00 154.79 109.19 141.44 164.82 97.18 NA NA 60 129.59 172.80322.79 203.44 347.42 183.50 0.00 173.47 368.56 209.50 139.48 83.97 NA NATable 69. Provided are the values of each of the parameters (asdescribed in Table 67 above) measured in wheat accessions (line; “L”)under normal growth conditions. Growth conditions are specified in theexperimental procedure section. “NA” = not available.“Cor.”—correlation.

TABLE 70 Measured parameters of correlation IDs in wheat accessionsunder low N conditions Cor. ID/ Line L-1 L-2 L-3 L-4 L-5 L-6 L-7 L-8 L-9L-10 L-11 L-12 L-13 L-14 1 14.16 25.17 14.38 31.87 16.45 17.73 18.5815.41 9.52 24.18 25.37 13.45 21.45 15.71 2 3.13 2.01 3.00 5.55 1.32 3.310.83 2.96 3.21 5.22 5.01 2.98 1.14 0.84 3 0.29 0.33 0.30 0.50 0.23 0.32NA 0.37 0.34 0.70 0.58 0.27 NA NA 4 1.36 0.99 1.76 2.66 1.12 1.45 0.791.46 1.52 2.60 2.50 1.26 1.09 0.71 5 0.92 0.93 0.74 1.01 0.68 0.89 NA0.81 0.81 0.54 0.89 0.76 NA NA 6 71.78 67.63 90.51 86.83 85.63 86.2990.18 78.66 79.08 80.66 80.58 75.68 83.34 81.51 7 0.18 0.16 0.14 0.170.15 0.18 0.12 0.19 0.16 0.17 0.17 0.16 0.13 0.12 8 27.54 31.57 27.1133.14 22.43 33.75 NA 31.43 31.93 31.14 30.37 27.98 NA NA 9 78.65 67.4495.73 71.48 81.53 70.10 23.67 57.70 74.75 83.60 81.60 73.13 67.66 24.5210 25.30 20.12 39.44 43.83 21.07 24.53 8.38 19.91 24.84 46.51 40.9322.11 22.96 7.78 11 2.69 1.73 2.94 3.57 1.93 2.45 0.69 1.85 2.29 3.583.62 2.26 2.02 0.63 12 3.43 2.50 2.98 3.29 2.54 2.93 1.26 2.77 2.63 3.273.41 2.75 1.50 0.92 13 1.06 0.75 1.22 2.02 0.64 0.97 0.40 0.93 0.88 1.821.67 0.83 0.51 0.20 14 0.51 0.41 0.38 0.50 0.27 0.38 0.09 0.39 0.33 0.420.46 0.45 0.17 0.14 15 15.28 20.23 NA 11.13 NA 15.37 NA 13.37 18.0714.65 16.78 12.92 NA NA 16 0.94 1.01 NA 0.80 NA 0.90 NA 0.81 0.98 0.940.93 0.92 NA NA 17 20.01 24.79 NA 16.84 NA 21.17 NA 19.79 22.14 19.6022.26 18.02 NA NA 18 43.99 53.54 NA 35.89 NA 43.81 NA 41.85 46.51 45.2046.58 38.43 NA NA 19 6.40 6.40 6.80 6.00 6.00 6.20 5.00 5.60 5.40 6.006.00 6.00 5.80 5.40 20 NA NA NA NA 6.25 NA NA NA NA NA NA NA NA NA 210.14 0.10 0.12 0.13 0.10 0.12 0.05 0.11 0.11 0.13 0.14 0.11 NA NA 220.54 0.49 0.42 0.66 0.28 0.56 NA 0.56 0.47 0.45 0.66 0.51 NA NA 23 4.134.08 4.44 4.75 3.94 3.81 NA 3.31 4.25 3.53 4.56 4.56 NA NA 24 57.5667.11 76.22 61.33 80.63 65.11 109.00 65.56 70.00 66.44 58.44 53.11103.56 109.00 25 68.89 73.00 77.89 68.00 82.57 71.25 105.00 71.00 72.5773.00 67.78 68.44 101.13 105.00 26 5.03 3.92 6.22 6.07 7.61 5.99 0.006.24 6.00 8.40 7.49 5.44 NA NA 27 25.91 39.58 44.70 32.31 20.79 43.84 NA42.72 37.81 32.50 27.66 24.56 NA NA 28 2.45 2.85 3.54 3.59 2.88 3.42 NA3.16 3.23 3.69 3.51 2.44 NA NA 29 47.48 81.12 85.36 61.31 62.29 94.38 NA74.44 80.19 64.56 61.81 54.06 NA NA 30 78.08 75.04 84.41 84.12 NA 82.70NA 72.54 53.64 84.04 79.53 86.25 NA NA 31 34.60 33.36 33.10 32.00 38.6041.90 36.90 32.16 32.90 37.30 36.44 27.40 32.20 33.00 32 0.78 0.63 0.281.10 0.48 0.68 0.61 0.65 0.75 1.51 1.05 0.72 0.40 0.60 33 41.11 26.03 NA38.94 NA 38.05 NA 32.06 31.48 41.45 45.34 35.17 NA NA 34 40.38 32.1738.19 42.45 37.49 42.30 NA 38.79 36.31 NA 45.14 34.60 NA NA 35 33.10 NANA 32.57 NA NA NA NA NA NA 37.87 29.01 NA NA 36 11.20 8.00 10.00 96.07.00 8.80 8.20 9.20 8.80 11.40 10.40 10.80 7.00 7.40 37 0.45 0.48 0.640.51 0.39 0.55 0.48 0.66 0.59 0.61 0.60 0.63 0.43 0.43 38 0.58 0.77 2.240.47 0.81 0.81 0.79 1.01 0.80 0.40 0.57 0.87 1.06 0.72 39 8.05 5.90 7.3111.08 8.29 7.38 9.73 8.21 7.77 10.74 10.17 7.26 7.27 9.72 40 18.48 15.5419.57 19.84 23.88 20.11 32.44 18.68 18.65 20.31 18.97 16.29 21.77 30.3041 7.32 6.31 8.17 7.87 10.05 8.70 14.36 7.00 6.99 8.08 7.44 6.43 9.0113.43 42 1.29 1.10 1.13 1.51 1.03 1.07 0.92 1.40 1.40 1.51 1.57 1.331.12 1.05 43 16.20 16.29 17.49 16.44 17.97 16.49 20.62 15.16 17.20 18.5318.00 17.13 18.38 18.97 44 17.33 36.36 46.11 33.00 51.94 53.20 NA 35.0052.00 44.62 31.67 16.88 NA NA 45 3.75 5.50 4.50 2.50 7.75 6.25 NA 4.506.25 3.25 3.00 4.00 NA NA 46 41.4 42.2 4.29 3.00 6.05 5.29 2.40 4.763.90 3.65 3.19 4.10 3.20 2.40 47 18.0 2.60 4.20 1.60 3.20 2.80 2.40 3.202.40 2.80 2.00 2.00 3.20 2.40 48 52.66 46.55 67.18 52.36 92.33 58.7989.95 55.21 64.50 62.16 56.55 51.08 84.82 91.80 49 201.42 190.89 NA182.97 NA 148.36 NA 100.45 237.33 109.86 273.83 230.90 NA NA 50 19.1219.55 40.05 17.70 59.04 28.30 74.95 22.35 28.23 24.71 19.81 19.47 63.2075.93 51 5.77 7.70 6.64 6.17 NA NA NA 9.31 7.49 5.63 5.46 4.75 NA NA 520.06 0.05 0.03 0.06 0.02 0.04 NA 0.04 0.03 0.03 0.05 0.04 NA NA 53 8.609.96 9.81 9.58 7.09 9.80 NA 9.46 9.69 9.02 10.20 10.94 NA NA 54 1.222.52 4.39 3.26 1.36 4.02 0.00 3.34 3.09 3.46 2.68 1.14 NA NA 55 161.96155.87 547.22 138.06 399.44 219.78 NA 238.94 201.24 139.26 178.14 188.90NA NA 56 0.02 0.02 0.01 0.03 0.01 0.02 NA 0.02 0.02 0.04 0.03 0.03 NA NA57 9.48 −30.26 −5.00 16.67 −28.15 −18.24 NA 5.50 −60.06 10.96 5.97 2.33NA NA 58 0.42 0.47 0.43 0.34 0.48 0.39 NA 0.35 0.43 0.30 0.30 0.38 NA NA59 68.42 48.01 64.65 99.72 53.69 83.57 NA 87.82 69.89 95.05 123.62 68.89NA NA 60 57.37 50.04 90.78 52.09 136.69 66.27 NA 68.21 80.06 114.8963.65 67.08 NA NA Table 70. Provided are the values of each of theparameters (as described in Table 67 above) measured in Barleyaccessions (lines; “L”) under low N growth conditions. Growth conditionsare specified in the experimental procedure section. “NA” = notavailable. “Cor.”—correlation.

TABLE 71 Additional measured parameters of correlation IDs in wheataccessions under low N vs. normal conditions Cor. ID/ Line L-1 L-2 L-3L-4 L-5 L-6 L-7 L-8 L-9 L-10 L-11 L-12 L-13 L-14 1 0.57 1.30 1.24 1.071.78 0.84 0.84 1.02 0.70 1.17 0.76 0.81 1.68 1.17 2 1.58 2.55 2.19 2.161.83 1.45 NA 1.39 2.97 0.97 1.07 1.00 NA NA 3 0.97 0.92 1.11 0.98 NA1.14 NA 0.94 0.91 1.02 0.93 1.00 NA NA 4 0.89 0.99 0.90 0.95 0.91 0.950.88 0.94 0.92 0.90 0.87 0.92 1.17 1.08 5 0.99 1.00 NA 1.10 NA 1.22 NA0.96 NA 1.07 1.12 1.06 NA NA 6 1.28 1.51 1.73 1.18 0.98 1.26 1.40 1.001.06 1.55 1.20 1.20 4.52 1.18 7 1.24 1.37 1.34 1.22 NA 1.49 NA 1.01 1.191.55 1.29 0.99 NA NA 8 1.12 1.41 1.75 1.16 1.09 1.08 3.03 0.97 0.95 1.440.99 1.07 5.54 0.26 9 3.03 3.63 3.17 2.22 2.35 2.41 10.62 2.10 2.56 2.181.98 3.07 NA NA 10 1.13 1.60 1.72 1.52 1.08 1.24 NA 1.19 2.04 1.12 1.220.94 NA NA 11 2.01 1.58 1.46 1.69 1.62 1.80 NA 1.90 1.26 2.39 2.46 3.00NA NA 12 0.94 1.05 1.00 1.08 0.89 1.11 NA 1.03 0.99 1.05 1.16 1.27 NA NA13 1.11 2.06 1.18 0.94 1.02 1.56 1.15 1.37 0.91 0.96 0.98 0.83 1.44 0.9514 1.10 0.92 NA 1.01 NA 0.82 NA 0.83 0.88 0.91 0.97 1.00 NA NA 15 1.041.03 0.88 1.05 0.82 0.94 NA 1.00 1.01 NA 1.05 1.01 NA NA 16 1.00 1.331.25 0.87 0.90 1.13 0.80 1.53 1.42 1.39 0.96 1.42 1.06 0.95 17 1.00 0.950.90 0.97 NA 0.95 NA 0.93 1.00 0.98 0.92 1.01 NA NA 18 0.89 −3.64 1.42−14.30 1.13 1.29 NA −1.35 1.52 1.63 26.92 0.66 NA NA 19 1.71 3.14 2.822.16 1.50 1.67 NA 1.33 2.94 0.99 1.08 0.96 NA NA 20 0.57 0.63 0.63 0.640.44 0.56 NA 0.57 0.64 0.67 0.75 0.71 NA NA 21 0.84 1.43 2.11 1.24 0.641.60 NA 1.53 1.46 1.31 1.33 1.84 NA NA 22 1.11 0.07 0.34 0.68 0.42 0.60NA 0.15 0.09 0.34 1.33 1.22 NA NA 23 0.79 4.23 1.21 1.16 1.29 0.88 NA4.38 5.03 3.04 1.03 1.59 NA NA 24 −0.19 −1.56 0.47 0.71 1.69 0.43 NA0.27 3.73 −0.23 −0.18 −0.03 NA NA 25 1.39 1.88 1.69 1.31 1.77 1.16 NA1.15 2.05 0.89 0.79 1.07 NA NA 26 0.57 0.63 0.63 0.64 0.44 0.56 NA 0.570.64 0.67 0.75 0.71 NA NA 27 0.44 0.29 0.28 0.26 0.39 0.36 NA 0.39 0.220.55 0.46 0.80 NA NA Table 71. Provided are the values of each of theparameters (as described in Table 68 above) measured in wheat accessions(lines; “L”) under low N vs. normal growth conditions. Growth conditionsare specified in the experimental procedure section. “NA” = notavailable. “Cor.”—correlation.

TABLE 72 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under low nitrogen fertilization conditions across wheataccessions Cor. Cor. Exp. Set Exp. Set P value set ID Gene Name R Pvalue set ID 1.50E−02 5  3 WNU102 0.783 4.41E−03 8 10 5.20E−02 4 24WNU102 0.946 4.36E−03 4 29 2.05E−02 4 47 WNU102 0.715 1.10E−01 4 182.88E−02 4 25 WNU102 0.782 6.60E−02 4 44 3.19E−02 4 27 WNU102 0.7382.31E−02 6 33 7.24E−02 3 60 WNU103 0.776 4.02E−02 3 24 2.88E−03 3 31WNU103 0.773 4.17E−02 3 44 1.99E−02 3 40 WNU103 0.787 3.59E−02 3 416.51E−02 3 48 WNU103 0.730 1.65E−02 7 24 9.67E−03 7 44 WNU103 0.7231.05E−01 4 30 4.67E−03 1  2 WNU103 0.735 1.00E−02 1 57 4.41E−03 1 13WNU103 0.718 1.28E−02 1  4 Table 72. “Cor. ID ”—correlation set IDaccording to the correlated parameters in Table 67 above. “Exp.Set”—Expression set. “R” = Pearson correlation coefficient; “P” = pvalue.

TABLE 73 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under normal fertilization conditions across wheataccessions Gene Exp. Cor. Gene Exp. Cor. Name R P value set Set ID NameR P value set Set ID WNU102 0.801 3.04E−03 3 24 WNU102 0.715 4.64E−02 38 WNU102 0.704 3.43E−02 3 18 WNU102 0.742 8.87E−03 3 25 WNU102 0.7821.29E−02 3 17 WNU102 0.845 2.09E−03 9 43 WNU102 0.913 1.11E−02 5 24WNU102 0.731 9.87E−02 5 46 WNU102 0.899 1.48E−02 5 25 WNU102 0.8025.52E−02 5 51 WNU102 0.717 2.96E−02 6 43 WNU103 0.728 1.70E−02 2 47WNU103 0.796 3.23E−02 7 30 WNU103 0.705 2.27E−02 7 47 WNU103 0.7689.52E−03 7 40 WNU103 0.735 1.55E−02 7 41 WNU103 0.739 9.33E−03 3 1WNU103 0.718 1.28E−02 3 32 WNU103 0.782 4.46E−03 3 14 WNU103 0.8714.76E−04 3 3 WNU103 0.866 5.70E−04 3 52 WNU103 0.747 8.31E−03 3 22WNU103 0.784 4.26E−03 3 5 WNU103 0.710 1.44E−02 3 58 WNU103 0.7331.58E−02 1 14 WNU103 0.735 1.54E−02 1 39 WNU103 0.752 1.20E−02 1 2WNU103 0.778 1.35E−02 1 11 WNU103 0.784 7.24E−03 1 13 WNU103 0.7072.22E−02 1 4 WNU103 0.783 7.41E−03 4 24 WNU103 0.797 5.77E−03 4 25WNU103 0.753 1.20E−02 9 19 WNU103 0.784 6.50E−02 5 1 WNU103 0.7965.81E−02 5 32 WNU103 0.796 5.80E−02 5 6 WNU103 0.820 4.57E−02 5 56WNU103 0.705 1.17E−01 5 2 WNU103 0.789 6.18E−02 5 36 WNU103 0.7379.45E−02 5 11 WNU103 0.765 7.63E−02 5 13 WNU103 0.723 1.04E−01 5 19WNU103 0.703 1.19E−01 5 10 WNU103 0.744 8.64E−03 8 1 WNU103 0.7301.07E−02 8 32 WNU103 0.768 5.73E−03 8 14 WNU103 0.798 3.21E−03 8 56WNU103 0.702 1.60E−02 8 3 WNU103 0.781 4.53E−03 8 52 WNU103 0.8509.09E−04 8 22 WNU103 0.717 1.30E−02 8 5 Table 73. “Cor. ID ”—correlationset ID according to the correlated parameters in Table 67 above. “Exp.Set”—Expression set. “R” = Pearson correlation coefficient; “P” = pvalue.

TABLE 74 Correlation between the expression level of selected genes ofsome embodiments of the invention in various tissues and the phenotypicperformance under low N vs. normal fertilization conditions across wheataccessions Cor. Cor. Gene Exp. Set Gene Exp. Set Name R P value set IDName R P value set ID WNU102 0.702 2.35E−02 2 7 WNU102 0.821 2.36E−02 311 WNU102 0.894 6.64E−03 3 27 WNU102 0.798 3.15E−02 3 12 WNU102 0.7241.17E−02 8 8 WNU102 0.733 1.02E−02 8 6 WNU102 0.892 1.68E−02 4 1 WNU1020.964 1.93E−03 4 23 WNU102 0.778 6.86E−02 4 8 WNU102 0.811 5.01E−02 4 6WNU102 0.701 1.62E−02 6 11 WNU102 0.920 5.92E−05 6 22 WNU102 0.7043.43E−02 6 14 WNU103 0.782 6.61E−02 3 7 WNU103 0.745 1.34E−02 7 10WNU103 0.726 1.74E−02 7 2 WNU103 0.709 2.16E−02 7 25 WNU103 0.7597.99E−02 4 11 WNU103 0.834 3.88E−02 4 27 WNU103 0.790 6.15E−02 4 12WNU103 0.802 5.49E−02 4 21 Table 74. “Cor. ID ”—correlation set IDaccording to the correlated parameters in Table 67 above. “Exp.Set”—Expression set. “R” = Pearson correlation coefficient; “P” = pvalue.

Example 14 Gene Cloning and Generation of Binary Vectors for PlantExpression

To validate their role in improving yield, selected genes wereover-expressed in plants, as follows.

Cloning Strategy

Selected genes from those presented in Examples 1-13 hereinabove werecloned into binary vectors for the generation of transgenic plants. Forcloning, the full-length open reading frames (ORFs) were identified. ESTclusters and in some cases mRNA sequences were analyzed to identify theentire open reading frame by comparing the results of severaltranslation algorithms to known proteins from other plant species.

In order to clone the full-length cDNAs, reverse transcription (RT)followed by polymerase chain reaction (PCR; RT-PCR) was performed ontotal RNA extracted from leaves, roots or other plant tissues, growingunder normal/limiting or stress conditions. Total RNA extraction,production of cDNA and PCR amplification was performed using standardprotocols described elsewhere (Sambrook J., E. F. Fritsch, and T.Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. ColdSpring Harbor Laboratory Press, New York.) which are well known to thoseskilled in the art. PCR products were purified using PCR purificationkit (Qiagen).

Usually, 2 sets of primers were prepared for the amplification of eachgene, via nested PCR (if required). Both sets of primers were used foramplification on a cDNA. In case no product was obtained, a nested PCRreaction was performed. Nested PCR was performed by amplification of thegene using external primers and then using the produced PCR product as atemplate for a second PCR reaction, where the internal set of primerswere used. Alternatively, one or two of the internal primers were usedfor gene amplification, both in the first and the second PCR reactions(meaning only 2-3 primers are designed for a gene). To facilitatefurther cloning of the cDNAs, an 8-12 base pairs (bp) extension wasadded to the 5′ of each internal primer. The primer extension includesan endonuclease restriction site. The restriction sites were selectedusing two parameters: (a) the restriction site does not exist in thecDNA sequence; and (b) the restriction sites in the forward and reverseprimers were designed such that the digested cDNA was inserted in thesense direction into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (NewEngland BioLabs Inc) according to the sites designed in the primers.Each digested/undigested PCR product was inserted into a high copyvector pUC19 (New England BioLabs Inc], or into plasmids originatingfrom this vector. In some cases the undigested PCR product was insertedinto pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCRCloning Kit, Thermo Scientific) or directly into the binary vector. Thedigested/undigested products and the linearized plasmid vector wereligated using T4 DNA ligase enzyme (Roche, Switzerland or othermanufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase isneeded.

Sequencing of the inserted genes was performed, using the ABI 377sequencer (Applied Biosystems). In some cases, after confirming thesequences of the cloned genes, the cloned cDNA was introduced into amodified pGI binary vector containing the At6669 promoter (e.g., pQFNc)and the NOS terminator (SEQ ID NO: 6929) via digestion with appropriaterestriction endonucleases.

In case of Brachypodium transformation, after confirming the sequencesof the cloned genes, the cloned cDNAs were introduced into pEBbVNi (FIG.9A) containing 35S promoter (SEQ ID NO: 6930) and the NOS terminator(SEQ ID NO:6929) via digestion with appropriate restrictionendonucleases. The genes were cloned downstream to the 35S promoter andupstream to the NOS terminator.

Several DNA sequences of the selected genes were synthesized by GeneArt(Life Technologies, Grand Island, N.Y., USA). Synthetic DNA was designedin silico. Suitable restriction enzymes sites were added to the clonedsequences at the 5′ end and at the 3′ end to enable later cloning intothe desired binary vector.

Binary vectors—The pPI plasmid vector was constructed by inserting asynthetic poly-(A) signal sequence, originating from pGL3 basic plasmidvector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811)into the HindIII restriction site of the binary vector pBI101.3(Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but theoriginal gene in the backbone is GUS-Intron and not GUS.

The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN orpQXNc) is a modified version of the pGI vector in which the cassette isinverted between the left and right borders so the gene and itscorresponding promoter are close to the right border and the NPTII geneis close to the left border.

At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO:6918)was inserted in the modified pGI binary vector, upstream to the clonedgenes, followed by DNA ligation and binary plasmid extraction frompositive E. coli colonies, as described above. Colonies were analyzed byPCR using the primers covering the insert which were designed to spanthe introduced promoter and gene. Positive plasmids were identified,isolated and sequenced.

pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which theHygromycin resistance gene was replaced with the BAR gene which confersresistance to the BASTA herbicide [BAR gene coding sequence is providedin GenBank Accession No. JQ293091.1 (SEQ ID NO:7121); furtherdescription is provided in Akama K, et al. “EfficientAgrobacterium-mediated transformation of Arabidopsis thaliana using thebar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4;Christiansen P, et al. “A rapid and efficient transformation protocolfor the grass Brachypodium distachyon”, Plant Cell Rep. 2005 March;23(10-11):751-8. Epub 2004 Oct. 19; and P{hacek over (a)}curar D I, etal. “A high-throughput Agrobacterium-mediated transformation system forthe grass model species Brachypodium distachyon L”, Transgenic Res. 200817(5):965-75; each of which is fully incorporated herein by reference inits entirety]. The pEBbVNi construct contains the 35S promoter (SEQ IDNO:6930). pJJ2LB is a modified version of pCambia0305.2 (Cambia).

In case genomic DNA was cloned, the genes were amplified by direct PCRon genomic DNA extracted from leaf tissue using the DNAeasy kit (QiagenCat. No. 69104).

Selected genes cloned by the present inventors are provided in Table 75below.

TABLE 75 Genes cloned in High copy number plasmids or in binary vectorsand the primers used for cloning of the genes Polyn. Polyp. Gene SEQ IDNOs of the SEQ SEQ Name High copy plasmid Organism primers employed IDNO: ID NO: WNU1 pMA-RQ_WNU1_GA 112 202 WNU2 pUC19c_WNU2 SORGHUM Sorghumbicolor 7030, 6949, 7030, 6949 113 203 WNU3 pUC19c_WNU3 SORGHUM Sorghumbicolor 7062, 6989, 7062, 6989 114 204 WNU5 pQFNc_WNU5 ARABIDOPSISArabidopsis thalia 115 205 WNU6 pQFNc_WNU6 ARABIDOPSIS Arabidopsisthalia 7089, 7011, 7085, 6953 116 206 WNU7 pMA-RQ_WNU7_GA 117 207 WNU8pUC19c_WNU8 BARLEY Hordeum vulgare L. 7058, 6961, 7058, 7002 118 208WNU9 pMA-RQ_WNU9_GA 119 209 WNU11 pQFNc_WNU11 BARLEY Hordeum vulgare L.7069, 7103, 7087, 7101 120 211 WNU12 pUC19_WNU12 BARLEY Hordeum vulgareL. 7016, 7113, 7016, 7113 121 305 WNU13 pQFNc_WNU13 BARLEY Hordeumvulgare L. 7086, 7115, 7045, 7118 122 213 WNU14 pUC19c_WNU14 BARLEYHordeum vulgare L. 7041, 6991, 7077, 6959 123 306 WNU15 pMA-RQ_WNU15_GA124 215 WNU16 pUC19c_WNU16 BARLEY Hordeum vulgare L. 7060, 6984, 7060,6984 125 216 WNU17 pMA-T_WNU17_GA 126 217 WNU18 pMA-T_WNU18_GA 127 218WNU19 pUC19c_WNU19 BARLEY Hordeum vulgare L. 7043, 6951, 7043, 6980 128219 WNU20 pMA-T_WNU20_GA 129 220 WNU21 pQFNc_WNU21 BARLEY Hordeumvulgare L. 7024, 7012, 7068, 6954 130 307 WNU23 pMA-RQ_WNU23_GA 131 223WNU25 pUC19c_WNU25 BARLEY Hordeum vulgare L. 7056, 7107, 7056, 7107 132224 WNU26 pMA-RQ_WNU26_GA 133 225 WNU27 pUC19c_WNU27 BARLEY Hordeumvulgare L. 6995, 6936, 6992, 6934 134 308 WNU28 pQFNc_WNU28 BARLEYHordeum vulgare L. 7067, 6983, 7067, 6983 135 309 WNU29 pUC19g_WNU29BARLEY Hordeum vulgare L. 136 228 WNU30 pMA-RQ_WNU30_GA 137 229 WNU31pQFNc_WNU31 BARLEY Hordeum vulgare L. 7033, 6975, 7033, 6975 138 230WNU32 pMA-RQ_WNU32_GA 139 231 WNU33 pMA-T_WNU33_GA 140 232 WNU34pUC19c_WNU34 BARLEY Hordeum vulgare L. 7049, 6969, 7049, 6969 141 310WNU35 pQFNc_WNU35 BARLEY Hordeum vulgare L. 7052, 6933, 7052, 6933 142234 WNU37 pUC19c_WNU37 BARLEY Hordeum vulgare L. 143 311 WNU38pUC19c_WNU38 BARLEY Hordeum vulgare L. 7054, 6967, 7054, 6967 144 237WNU39 pUC19c_WNU39 BARLEY Hordeum vulgare L. 7050, 7007, 7048, 6960 145238 WNU40 pMA-RQ_WNU40_GA 146 239 WNU41 pQFNc_WNU41 BARLEY Hordeumvulgare L. 7039, 7110, 7078, 7111 147 312 WNU42 pUC19c_WNU42 BARLEYHordeum vulgare L. 6932, 6931, 6939, 7104 148 241 WNU43 pMA-RQ_WNU43_GA149 242 WNU44 pUC19c_WNU44 BARLEY Hordeum vulgare L. 7055, 6965, 7088,6981 150 243 WNU45 TopoB_WNU45 BRACHYPODIUM 7064, 7109, 7071, 7108 151244 Brachypodiums dis WNU46 pMA-RQ_WNU46_GA 152 245 WNU47 pUC19c_WNU47BRACHYPODIUM 7091, 6947, 7091, 6947 153 246 Brachypodiums dis WNU49pQFNc_WNU49 BRACHYPODIUM 7090, 6957, 7090, 6957 154 247 Brachypodiumsdis WNU50 pQFNc_WNU50 BRACHYPODIUM 7036, 7116, 7057, 7099 155 313Brachypodiums dis WNU51 pQFNc_WNU51 BRACHYPODIUM 7059, 7112, 7059, 7112156 314 Brachypodiums dis WNU52 pMA-T_WNU52_GA 157 250 WNU54pUC19c_WNU54 FOXTAIL Setaria italica 7081, 6978, 7081, 6978 158 252WNU55 pQFNc_WNU55 FOXTAIL Setaria italica 7051, 6986, 7075, 6998 159 253WNU56 pQFNc_WNU56 FOXTAILSetaria italica 160 254 WNU57 pUC19c_WNU57FOXTAIL Setaria italica 7076, 7005, 7076, 7005 161 255 WNU58 pQFNc_WNU58FOXTAIL Setaria italica 7047, 6966, 7047, 6966 162 256 WNU60 pQFNc_WNU60FOXTAIL Setaria italica 6945, 7117, 6941, 7093 163 257 WNU61 pQFNc_WNU61FOXTAIL Setaria italica 6944, 7120, 6946, 7119 164 315 WNU63 pQFNc_WNU63FOXTAIL Setaria italica 7046, 6970, 7046, 6970 165 316 WNU65 pQFNc_WNU65FOXTAIL Setaria italica 7032, 7004, 7031, 6962 166 260 WNU66 TopoB_WNU66FOXTAIL Setaria italica 7040, 7013, 7040, 7013 167 261 WNU67 pQFNc_WNU67FOXTAIL Setaria italica 6940, 6997, 6943, 6958 168 262 WNU68 pQFNc_WNU68FOXTAIL Setaria italica 7025, 6974, 7025, 6955 169 263 WNU69pMA_WNU69_GA 170 264 WNU70 pUC19c_WNU70 FOXTAIL Setaria italica 7035,6948, 7035, 6948 171 265 WNU71 pUC19c_WNU71 FOXTAIL Setaria italica7063, 6950, 7063, 6950 172 266 WNU72 pUC19c_WNU72 FOXTAIL Setariaitalica 7070, 7095, 7083, 7097 173 267 WNU73 pUC19c_WNU73 FOXTAILSetaria italica 7082, 6935, 7082, 6935 174 268 WNU74 pUC19c_WNU74FOXTAIL Setaria italica 7084, 7015, 7084, 7015 175 317 WNU75pUC19c_WNU75 MAIZE Zea mays L. 7028, 6996, 7029, 6999 176 270 WNU76pUC19g_WNU76 MAIZE Zea mays L. 7023, 7102, 7023, 7102 177 318 WNU77pQFNc_WNU77 MAIZE Zea mays L. 7037, 7100, 7037, 7100 178 272 WNU78pUC19g_WNU78 MAIZE Zea mays L. 7021, 6993, 7019, 7001 179 319 WNU80pQFNc_WNU80 MAIZE Zea mays L. 180 320 WNU81 pUC19c_WNU81 MAIZE Zea maysL. 7065, 7094, 7065, 7094 181 321 WNU82 pQFNc_WNU82 MAIZE Zea mays L.7026, 6987, 7053, 6963 182 322 WNU83 pQFNc_WNU83 MAIZE Zea mays L. 7066,7006, 7066, 7006 183 323 WNU85 pQFNc_WNU85 RICE Oryza sativa L. 6977,6937, 6977, 6937 184 324 WNU87 pUC19c_WNU87 RICE Oryza sativa L. 185 279WNU90 pMA_WNU90_GA 186 280 WNU91 pQFNc_WNU91 SORGHUM Sorghum bicolor7020, 6985, 7022, 6979 187 281 WNU92 pUC19c_WNU92 SORGHUM Sorghumbicolor 7027, 6972, 7073, 6956 188 282 WNU93 pMA-RQ_WNU93_GA 189 283WNU94 pUC19_WNU94 SORGHUM Sorghum bicolor 7034, 6990, 7034, 6990 190 284WNU96 pQFNc_WNU96 SORGHUM Sorghum bicolor 7038, 6952, 7038, 6952 191 285WNU97 pUC19c_WNU97 SORGHUM Sorghum bicolor 6968, 6938, 6968, 6938 192286 WNU98 pUC19c_WNU98 SORGHUM Sorghum bicolor 6942, 7009, 6942, 7009193 325 WNU99 pUC19g_WNU99 SORGHUM Sorghum bicolor 7017, 7008, 7017,7008 194 326 WNU100 pQFNc_WNU100 SORGHUM Sorghum bicolor 7061, 7014,7061, 6971 195 289 WNU101 pQFNc_WNU101 SORGHUM Sorghum bicolor 7079,6973, 7079, 6973 196 290 WNU102 pMA-RQ_WNU102_GA 197 291 WNU104pUC19c_WNU104 MAIZE Zea mays L. 7080, 7003, 7042, 6982 198 293 WNU105pMA-RQ_WNU105_GA 199 294 WNU103_H11 pMA-RQ_WNU103_H11_GA 200 295WNU22_H1 TopoB_WNU22_H1 WHEAT Triticum aestivum L. 6988, 7106, 6976,7105 201 327 Table 75. “Polyn.”—Polynucleotide; “Polyp”— polypeptide.For cloning of each gene at least 2 primers were used: Forward (Fwd) orReverse (Rev). In some cases, 4 primers were used: External forward(EF), External reverse (ER), nested forward (NF) or nested reverse (NR).The sequences of the primers used for cloning the genes are provided inthe sequence listing. Some genes were synthetically produced by GeneArt(marked as “GA”).

Example 15 Transforming Agrobacterium Tumefaciens Cells with BinaryVectors Harboring Putative Genes

The above described binary vectors were used to transform Agrobacteriumcells. Two additional binary constructs, having only the At6669 or the35S promoter, or no additional promoter were used as negative controls.

The binary vectors were introduced to Agrobacterium tumefaciens GV301 orLB4404 (for Arabidopsis) or AGL1 (for Brachypodium) competent cells(about 10⁹ cells/mL) by electroporation. The electroporation wasperformed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes(Biorad) and EC-2 electroporation program (Biorad). The treated cellswere cultured in LB liquid medium at 28° C. for 3 hours, then platedover LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; forAgrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L;for Agrobacterium strain LB4404); or with Carbenicillin (forBrachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium;50 mg/L) at 28° C. for 48 hours. Abrobacterium colonies, which weredeveloped on the selective media, were further analyzed by PCR using theprimers designed to span the inserted sequence in the pPI plasmid. Theresulting PCR products were isolated and sequenced to verify that thecorrect polynucleotide sequences of the invention are properlyintroduced to the Agrobacterium cells.

Example 16 Transformation of Arabidopsis Thaliana Plants with thePolynucleotides of the Invention

Arabidopsis thaliana Columbia plants (T₀ plants) were transformed usingthe Floral Dip procedure described by Clough and Bent, 1998 (Floral dip:a simplified method for Agrobacterium-mediated transformation ofArabidopsis thaliana. Plant J 16:735-43) and by Desfeux et al., 2000(Female Reproductive Tissues Are the Primary Target ofAgrobacterium-Mediated Transformation by the Arabidopsis Floral-DipMethod. Plant Physiol, July 2000, Vol. 123, pp. 895-904), with minormodifications. Briefly, T₀ Plants were sown in 250 ml pots filled withwet peat-based growth mix. The pots were covered with aluminum foil anda plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubatedin a growth chamber at 18-24° C. under 16/8 hour light/dark cycles. TheT₀ plants were ready for transformation six days before anthesis.

Single colonies of Agrobacterium carrying the binary constructs, weregenerated as described in Examples 14-15 above. Colonies were culturedin LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50mg/L). The cultures were incubated at 28° C. for 48 hours under vigorousshaking and then centrifuged at 4000 rpm for 5 minutes. The pelletscomprising the Agrobacterium cells were re-suspended in a transformationmedium containing half-strength (2.15 g/L) Murashige-Skoog (Duchefa);0.044 μM benzylamino purine (Sigma); 112 μg/L B5 Gambourg vitamins(Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) indouble-distilled water, at pH of 5.7.

Transformation of T₀ plants was performed by inverting each plant intoan Agrobacterium suspension, such that the above ground plant tissue issubmerged for 3-5 seconds. Each inoculated T₀ plant was immediatelyplaced in a plastic tray, then covered with clear plastic dome tomaintain humidity and was kept in the dark at room temperature for 18hours, to facilitate infection and transformation. Transformed(transgenic) plants were then uncovered and transferred to a greenhousefor recovery and maturation. The transgenic T₀ plants were grown in thegreenhouse for 3-5 weeks until siliques were brown and dry. Seeds wereharvested from plants and kept at room temperature until sowing.

For generating T₁ and T₂ transgenic plants harboring the genes, seedscollected from transgenic T₀ plants were surface-sterilized by soakingin 70% ethanol for 1 minute, followed by soaking in 5% sodiumhypochloride and 0.05% triton for 5 minutes. The surface-sterilizedseeds were thoroughly washed in sterile distilled water then placed onculture plates containing half-strength Murashige-Skoog (Duchefa); 2%sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin(Duchefa). The culture plates were incubated at 4° C. for 48 hours, thentransferred to a growth room at 25° C. for an additional week ofincubation. Vital T₁ Arabidopsis plants were transferred to freshculture plates for another week of incubation. Following incubation theT₁ plants were removed from culture plates and planted in growth mixcontained in 250 ml pots. The transgenic plants were allowed to grow ina greenhouse to maturity. Seeds harvested from T₁ plants were culturedand grown to maturity as T₂ plants under the same conditions as used forculturing and growing the T₁ plants.

Example 17 Transformation of Brachypodium Distachyon Plants with thePolynucleotides of the Invention

Similar to the Arabidopsis model plant, Brachypodium distachyon hasseveral features that recommend it as a model plant for functionalgenomic studies, especially in the grasses. Traits that make it an idealmodel include its small genome (˜160 Mbp for a diploid genome and 355Mbp for a polyploidy genome), small physical stature, a short lifecycle,and few growth requirements. Brachypodium is related to the major cerealgrain species but is understood to be more closely related to theTriticeae (wheat, barley) than to the other cereals. Brachypodium, withits polyploidy accessions, can serve as an ideal model for these grains(whose genomics size and complexity is a major barrier tobiotechnological improvement).

Brachypodium distachyon embryogenic calli were transformed using theprocedure described by Vogel and Hill (2008) [High-efficiencyAgrobacterium-mediated transformation of Brachypodium distachyon inbredline Bd21-3. Plant Cell Rep 27:471-478], Vain et al (2008)[Agrobacterium-mediated transformation of the temperate grassBrachypodium distachyon (genotypeBd21) for T-DNA insertionalmutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al.(2006) [Agrobacterium mediated transformation and inbred linedevelopment in the model grass Brachypodium distachyon. Plant Cell TissOrg. Cult. 85:199-211], each of which is fully incorporated herein byreference, with some minor modifications, which are briefly summarizedhereinbelow.

Callus initiation—Immature spikes (about 2 months after seeding) wereharvested at the very beginning of seeds filling. Spikes were thenhusked and surface sterilized with 3% NaClO containing 0.1% Tween 20,shaked on a gyratory shaker at low speed for 20 minutes. Following threerinses with sterile distilled water, embryos were excised under adissecting microscope in a laminar flow hood using fine forceps.

Excised embryos (size˜0.3 mm, bell shaped) were placed on callusinduction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965.Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO₄,2.5 mg/1 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel(Sigma)] scutellar side down, 100 embryos on a plate, and incubated at28° C. in the dark. One week later, the embryonic calli was cleaned fromemerging roots, shoots and somatic calli, and was subcultured onto freshCIM medium. During culture, yellowish embryogenic callus (EC) appearedand were further selected (e.g., picked and transferred) for furtherincubation in the same conditions for additional 2 weeks. Twenty-fivepieces of sub-cultured calli were then separately placed on 90×15 mmpetri plates, and incubated as before for three additional weeks.

Transformation—As described in Vogel and Hill (2008, Supra),Agrobacterium was scraped off 2-day-old MGL plates (plates with the MGLmedium which contains: Tryptone 5 g/l, Yeast Extract 2.5 g/l, NaCl 5g/l, D-Mannitol 5 g/l, MgSO₄*7H₂O 0.204 g/l, K₂HPO₄ 0.25 g/l, GlutamicAcid 1.2 g/l, Plant Agar 7.5 g/l) and resuspended in liquid MS mediumsupplemented with 200 μM acetosyringone to an optic density (OD) at 600nm (OD₆₀₀) of 0.6. Once the desired OD was attained, 1 ml of 10%Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium was added.

To begin inoculation, 300 callus pieces were placed in approximately 12plates (25 callus pieces in each plate) and covered with theAgrobacterium suspension (8-8.5 ml). The callus was incubated in theAgrobacterium suspension for 15 minutes with occasional gentle rocking.After incubation, the Agrobacterium suspension was aspirated off and thecalli were then transferred into co-cultivation plates, prepared byplacing a sterile 7-cm diameter filter paper in an empty 90×15 mm petriplate. The calli pieces were then gently distributed on the filterpaper. One co-cultivation plate was used for two starting callus plates(50 initial calli pieces). The co-cultivation plates were then sealedwith parafilm and incubated at 22° C. in the dark for 3 days. The calluspieces were then individually transferred onto CIM medium as describedabove, which was further supplemented with 200 mg/1 Ticarcillin (to killthe Agrobacterium) and Bialaphos (5 mg/L) (for selection of thetransformed resistant embryogenic calli sections), and incubated at 28°C. in the dark for 14 days.

The calli pieces were then transferred to shoot induction media (SIM; LSsalts and vitamins plus 3% Maltose monohydrate) supplemented with 200mg/1 Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and were sub-cultured inlight to the same media after 10 days (total of 20 days). At eachsub-culture all the pieces from a single callus were kept together tomaintain their independence and were incubated under the followingconditions: lighting to a level of 60 IE m-2 s-1, a 16-h light, 8-h darkphotoperiod and a constant 24° C. temperature. Plantlets emerged fromthe transformed calli.

When plantlets were large enough to handle without damage, they weretransferred to plates containing the above mentioned shoot inductionmedia (SIM) without Bialaphos. Each plantlet was considered as adifferent event. The plantlets grew axillary tillers and eventuallybecame bushy. Each bush from the same plant (event ID) was then dividedto tissue culture boxes (“Humus”) containing “rooting medium” [MS basalsalts, 3% sucrose, 3 g/L phytagel, 2 mg/l α-Naphthalene Acetic Acid(NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a“Humus box” were different plants of the same transformation event.

When plantlets established roots they were transplanted to soil andtransferred to a greenhouse. To verify the transgenic status of plantscontaining the other constructs, T0 plants were subjected to PCR aspreviously described by Vogel et al. 2006 [Agrobacterium mediatedtransformation and inbred line development in the model grassBrachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].

Example 18 Evaluating Transgenic Arabidopsis Nue Under Low or NormalNitrogen Conditions Using Seedling Assays

Assay 1: Plant Growth Under Low and Favorable Nitrogen ConcentrationLevels

Surface sterilized seeds were sown in basal media [50% Murashige-Skoogmedium (MS) supplemented with 0.8% plant agar as solidifying agent] inthe presence of Kanamycin (used as a selecting agent). After sowing,plates were transferred for 2-3 days for stratification at 4° C. andthen grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7to 10 days. At this time point, seedlings randomly chosen were carefullytransferred to plates containing ½MS media (15 mM N) for the normalnitrogen concentration treatment and 0.30 mM nitrogen for the lownitrogen concentration treatments. For experiments performed in T₂lines, each plate contained 5 seedlings of the same transgenic event,and 3-4 different plates (replicates) for each event. For eachpolynucleotide of the invention at least four-five independenttransformation events were analyzed from each construct. For experimentsperformed in T₁ lines, each plate contained 5 seedlings of 5 independenttransgenic events and 3-4 different plates (replicates) were planted. Intotal, for T₁ lines, 20 independent events were evaluated. Plantsexpressing the polynucleotides of the invention were compared to theaverage measurement of the control plants (empty vector or GUS reportergene under the same promoter) used in the same experiment.

Digital imaging—A laboratory image acquisition system, which consists ofa digital reflex camera (Canon EOS 300D) attached with a 55 mm focallength lens (Canon EF-S series), mounted on a reproduction device(Kaiser RS), which includes 4 light units (4×150 Watts light bulb) andlocated in a darkroom, was used for capturing images of plantlets sawnin agar plates.

The image capturing process was repeated every 3-4 days starting at day1 till day 10 (see for example the images in FIGS. 3A-B). An imageanalysis system was used, which consists of a personal desktop computer(Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39[Java based image processing program which is developed at the U.S.National Institutes of Health and freely available on the internet atrsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG(Joint Photographic Experts Group standard) format. Next, analyzed datawas saved to text files and processed using the JMP statistical analysissoftware (SAS institute).

Seedling analysis—Using the digital analysis seedling data wascalculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters wascalculated according to Formulas XIII (Relative growth rate of leafarea), XII (Relative growth rate of leaf blade area) and VI (Relativegrowth rate of root length) as described above.

At the end of the experiment, plantlets were removed from the media andweighed for the determination of plant fresh weight. Plantlets were thendried for 24 hours at 60° C., and weighed again to measure plant dryweight for later statistical analysis. Growth rate was determined bycomparing the leaf area coverage, root coverage and root length, betweeneach couple of sequential photographs, and results were used to resolvethe effect of the gene introduced on plant vigor under optimalconditions. Similarly, the effect of the gene introduced on biomassaccumulation, under optimal conditions, was determined by comparing theplants' fresh and dry weight to that of control plants (containing anempty vector or the GUS reporter gene under the same promoter). Fromevery construct created, 3-5 independent transformation events wereexamined in replicates.

Statistical analyses—To identify genes conferring significantly improvedplant vigor or enlarged root architecture, the results obtained from thetransgenic plants were compared to those obtained from control plantsthat were grown under identical growth conditions. To identifyoutperforming genes and constructs, results from the independenttransformation events tested were analyzed separately. To evaluate theeffect of a gene event over a control the data was analyzed by Student'st-test and the p value was calculated. Results were consideredsignificant if p≦0.1. The JMP statistics software package was used(Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

The genes presented in the following Tables were cloned under theregulation of a constitutive promoter (At6669). Evaluation of the effectof transformation in a plant of each gene was carried out by testing theperformance of different number of transformation events. Some of thegenes were evaluated in more than one seedling assay. The resultsobtained in these second experiments were significantly positive aswell. Event with p-value<0.1 was considered statistically significant.

The genes presented in Tables 76-78 showed a significant improvement inplant NUE since they produced larger plant biomass (plant fresh and dryweight; leaf area, root length and root coverage) in T2 generation(Tables 76-77) or T1 generation (Table 78) when grown under limitingnitrogen growth conditions, compared to control plants that were grownunder identical growth conditions. Plants producing larger root biomasshave better possibilities to absorb larger amount of nitrogen from soil.

TABLE 76 Genes showing improved plant performance at nitrogen deficientconditions (T2 generation) Dry Weight [mg] Fresh Weight [mg] % % GeneName Event # Ave. P-Val. Incr. Ave. P-Val. Incr. WNU9 76615.4 5.33 0.1034 128.6 0.12 51 WNU41 79012.2 5.12 0.05 29 — — — WNU41 79012.4 4.720.02 19 — — — WNU41 79013.1 5.05 0.05 27 98.0 0.25 15 WNU31 75790.2 — —— 115.7 0.24 36 WNU20 78340.5 — — — 131.1 0.07 54 CONT. — 3.97 — — 85.3— — WNU96 75816.4 6.25 L 80 95.7 L 40 WNU96 75818.9 4.07 0.21 17 85.40.29 25 WNU93 76607.13 — — — 83.4 0.20 22 WNU93 76607.9 4.80 0.02 3886.7 0.15 27 WNU93 76609.3 5.03 0.04 45 106.9 0.06 57 WNU93 76609.4 3.980.26 15 89.3 0.19 31 WNU8 77116.2 4.05 0.05 17 — — — WNU8 77117.9 3.980.23 15 — — — WNU76 77092.1 4.73 0.13 36 86.0 0.07 26 WNU76 77092.3 4.070.25 17 — — — WNU76 77095.2 4.72 0.03 36 94.8 0.08 39 WNU49 75796.8 4.350.13 25 92.2 0.22 35 WNU49 75797.3 3.98 0.22 15 81.4 0.25 19 WNU4975799.6 — — — 81.5 0.29 20 WNU40 78091.1 4.55 0.02 31 88.2 0.22 29 WNU4078092.5 4.30 0.22 24 117.1 0.22 72 WNU40 78095.5 4.63 L 34 — — — WNU3777766.2 4.47 0.21 29 102.5 0.15 50 WNU37 77767.1 4.10 0.06 18 109.2 0.0760 WNU37 77767.3 5.58 0.02 61 105.6 0.01 55 WNU23 78341.3 4.25 0.16 2283.0 0.17 22 WNU23 78341.7 4.00 0.18 15 — — — WNU23 78343.1 4.43 0.06 28102.6 0.05 50 WNU23 78344.2 4.12 0.18 19 88.9 0.12 30 WNU102 76549.124.72 L 36 95.5 0.21 40 WNU102 76550.4 5.10 L 47 107.5 0.03 58 WNU10077989.3 4.58 0.09 32 94.5 0.02 39 WNU100 78026.6 4.05 0.18 17 — — —WNU100 78029.3 4.17 0.03 20 — — — CONT. — 3.47 — — 68.2 — — WNU7078102.7 4.00 0.07 33 68.0 0.04 39 WNU70 78104.1 4.37 0.21 46 67.1 0.2937 WNU61 78014.1 3.70 0.15 23 — — — WNU61 78014.2 4.25 0.20 42 66.4 0.1036 WNU61 78015.10 3.47 0.20 16 56.2 0.21 15 WNU6 76542.5 6.58 0.02 119108.0 0.05 121 WNU6 76544.1 4.25 0.02 42 66.1 0.05 35 WNU6 76544.4 6.270.15 109 — — — WNU55 77632.3 5.93 0.04 98 63.2 0.05 29 WNU55 77632.65.40 0.02 80 67.5 0.03 38 WNU51 79018.6 3.60 0.14 20 — — — WNU51 79019.2— — — 58.5 0.11 20 WNU11 76397.2 4.00 0.25 33 61.8 0.19 27 WNU10577261.2 4.37 0.05 46 — — — WNU105 77261.4 3.52 0.21 18 56.1 0.24 15CONT. — 4.39 — — 71.2 — — WNU91 76213.2 — — — 93.1 0.19 14 WNU91 76213.44.88 0.02 30 102.7 0.02 26 WNU70 78104.1 4.92 0.04 31 96.2 0.08 18 WNU7078104.3 5.05 0.12 35 119.0 0.06 46 WNU70 78104.4 4.47 0.16 19 99.9 0.1623 WNU14 77113.9 — — — 96.6 0.10 19 WNU11 76397.2 5.25 0.02 40 126.40.07 55 WNU105 77261.4 4.55 0.20 21 96.5 0.08 19 CONT. — 3.75 — — 81.4 —— WNU99 77099.4 — — — 41.5 0.28 17 WNU99 77100.3 3.43 0.01 39 47.8 L 34WNU98 77462.4 3.35 0.01 36 51.8 L 46 WNU97 77181.4 3.30 L 34 49.8 0.0640 WNU97 77182.2 3.15 0.10 28 48.0 L 35 WNU94 78108.3 3.08 0.05 25 44.90.01 26 WNU94 78109.1 2.90 0.26 18 — — — WNU94 78110.3 — — — 47.3 0.1733 WNU9 76612.1 — — — 43.1 0.22 21 WNU9 76615.6 3.73 L 52 54.1 L 52WNU83 75821.8 3.08 0.04 25 49.2 L 39 WNU83 75823.10 3.28 0.05 33 48.70.05 37 WNU83 75824.4 — — — 42.6 0.09 20 WNU81 78097.2 3.40 0.03 38 55.5L 56 WNU81 78097.5 3.15 0.06 28 45.1 0.08 27 WNU81 78098.2 — — — 42.10.08 19 WNU5 76044.2 3.17 0.09 29 42.7 0.19 20 WNU5 76045.7 3.05 0.09 24— — — WNU46 77021.3 3.40 L 38 45.3 0.08 28 WNU46 77022.1 3.02 0.14 2341.6 0.10 17 WNU46 77024.3 — — — 49.6 0.12 40 WNU43 77270.2 3.32 0.02 3546.4 L 31 WNU41 79012.2 3.55 0.15 44 — — — WNU41 79012.4 4.13 L 68 54.30.02 53 WNU41 79013.1 2.98 0.07 21 44.8 0.10 26 WNU38 76594.5 3.25 0.0532 51.2 0.17 44 WNU38 76595.11 — — — 41.9 0.21 18 WNU35 75793.1 3.320.02 35 48.3 0.05 36 WNU31 75786.3 3.35 0.15 36 47.6 0.15 34 WNU3175790.2 3.45 0.10 40 46.0 0.06 30 WNU31 75790.7 3.10 0.14 26 53.5 0.0551 WNU20 78336.5 2.95 0.07 20 41.2 0.23 16 WNU20 78340.1 3.15 0.05 2846.3 0.07 30 WNU20 78340.5 3.00 0.16 22 54.9 0.09 55 WNU17 76556.4 — — —40.8 0.17 15 WNU17 76557.4 2.85 0.15 16 40.7 0.22 15 WNU17 76559.1 3.020.23 23 — — — CONT. — 2.46 — — 35.5 — — WNU103_H11 78347.1 4.4 0.1812626 — — — WNU103_H11 78346.4 — — — 107.15 0.11509 57 WNU22_H1 79403.13.925 0.119338 13 90.55 0.200901 32 WNU22_H1 79405.2 4.775 0.085495 37103.375 0.194248 51 CONT. — 3.47 — — 68.18 — — Table 76.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

TABLE 77 Genes showing improved plant performance at nitrogen deficientconditions (T2 generation) Roots Leaf Area [cm²] Coverage [cm²] RootsLength [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val.Incr. Ave. Val. Incr. WNU98 77462.2 0.457 0.15 13 — — — 7.03 L 11 WNU9877462.4 — — — — — — 6.71 0.10 6 WNU98 77463.13 0.437 0.27 8 — — — — — —WNU98 77465.1 0.468 0.08 16 11.2 0.02 23 6.68 0.28 6 WNU97 77182.2 0.4480.01 11 10.8 0.29 18 6.83 0.02 8 WNU94 78108.3 — — — 11.7 0.04 27 7.130.05 13 WNU9 76612.1 — — — — — — 6.79 0.19 8 WNU9 76615.6 — — — — — —6.81 0.02 8 WNU83 75821.7 — — — — — — 6.77 0.05 7 WNU83 75823.10 — — — —— — 6.67 0.22 6 WNU83 75824.4 — — — — — — 6.64 0.05 5 WNU81 78098.2 — —— — — — 6.85 0.10 9 WNU41 79012.1 — — — — — — 6.99 0.12 11 WNU41 79012.20.468 L 16 14.8 L 61 7.37 L 17 WNU41 79012.4 0.472 0.15 17 — — — 6.740.07 7 WNU41 79013.1 0.458 0.14 13 10.3 0.02 13 6.74 0.08 7 WNU3876595.11 0.442 0.16 9 — — — 6.89 0.09 9 WNU31 75790.2 0.477 0.08 18 10.80.12 18 6.77 0.05 7 WNU31 75790.7 — — — 11.9 0.28 30 — — — WNU31 75790.8— — — — — — 6.78 0.03 7 WNU20 78339.2 0.459 0.10 14 — — — 7.07 L 12WNU20 78340.1 — — — 10.4 0.13 13 7.20 0.02 14 WNU20 78340.5 0.468 0.0916 11.8 L 29 7.44 L 18 WNU17 76556.3 0.464 0.02 15 12.5 0.02 37 7.38 L17 WNU17 76557.4 — — — — — — 6.82 0.15 8 CONT. — 0.404 — — 9.15 — — 6.30— — WNU96 75816.4 0.444 0.02 39 11.4 L 58 7.01 L 18 WNU96 75818.9 0.3660.19 15 8.28 0.23 15 6.63 0.04 12 WNU96 75820.6 — — — — — — 6.86 L 16WNU96 75820.7 0.365 0.10 15 — — — — — — WNU93 76607.13 0.403 0.02 2610.6 L 48 7.09 L 20 WNU93 76607.9 0.386 0.05 21 9.08 0.15 26 — — — WNU9376609.3 0.407 0.11 28 9.62 0.21 34 7.04 0.03 19 WNU8 77117.1 0.369 0.1916 8.70 0.06 21 6.35 0.21 7 WNU8 77117.9 0.359 0.19 12 — — — — — — WNU7677091.10 — — — 8.32 0.24 16 — — — WNU76 77092.1 0.452 0.07 42 — — — — —— WNU76 77095.2 0.368 0.25 15 9.56 0.05 33 6.38 0.24 8 WNU49 75796.80.399 0.03 25 8.38 0.09 17 — — — WNU49 75797.3 0.359 0.13 13 — — — 6.280.23 6 WNU49 75799.6 0.369 0.26 16 — — — — — — WNU49 75799.7 — — — — — —6.42 0.09 8 WNU40 78091.1 0.392 L 23 — — — — — — WNU40 78092.5 0.3730.02 17 10.3 L 44 6.45 0.09 9 WNU40 78095.5 0.374 0.28 17 — — — — — —WNU37 77766.2 0.402 0.03 26 9.28 0.14 29 — — — WNU37 77767.1 0.391 0.1223 9.33 0.06 30 6.77 0.11 14 WNU37 77767.3 0.397 0.07 24 11.0 0.02 536.85 0.06 15 WNU23 78341.3 0.397 0.01 24 — — — 6.38 0.12 8 WNU23 78341.70.355 0.10 11 8.16 0.21 14 6.60 0.16 11 WNU23 78343.1 0.428 0.01 34 9.830.08 37 7.22 L 22 WNU23 78344.2 0.408 L 28 — — — 6.73 0.02 13 WNU10276549.12 0.442 L 38 12.1 L 68 6.75 0.03 14 WNU102 76550.4 0.444 L 3912.5 L 74 7.26 0.01 22 WNU100 77989.3 0.414 0.01 30 8.90 0.05 24 6.83 L15 WNU100 77990.2 — — — — — — 6.54 0.15 10 WNU100 78026.6 0.379 0.06 19— — — — — — WNU100 78029.3 0.350 0.16 10 10.1 0.01 40 6.67 0.03 12 CONT.— 0.319 — — 7.18 — — 5.93 — — WNU91 76213.2 — — — — — — 5.87 0.23 7WNU91 76213.4 0.373 0.17 11 — — — 5.93 0.17 8 WNU91 76215.5 — — — — — —5.93 0.05 8 WNU70 78102.7 0.411 0.10 22 8.73 0.01 51 6.85 L 25 WNU7078104.1 0.416 0.09 24 7.75 0.02 34 — — — WNU70 78104.3 — — — — — — 6.200.02 13 WNU61 78014.1 0.370 0.07 10 6.50 0.20 13 5.88 L 7 WNU61 78014.20.404 0.14 20 8.59 0.16 49 5.87 0.18 7 WNU61 78015.10 0.380 0.05 13 6.350.20 10 5.97 0.08 9 WNU6 76542.5 0.459 0.05 37 12.6 0.04 119 6.83 0.0224 WNU6 76544.1 0.435 L 29 7.58 L 31 6.30 L 15 WNU55 77632.3 0.419 L 257.55 0.04 31 — — — WNU55 77632.6 0.389 0.04 16 8.23 0.05 43 5.95 0.24 8WNU55 77634.1 0.351 0.24 5 — — — — — — WNU51 79018.6 0.388 0.11 16 7.320.15 27 5.93 0.02 8 WNU51 79019.2 0.377 0.11 12 7.13 0.15 24 — — — WNU1176397.2 0.401 0.15 19 7.72 0.10 34 6.28 0.23 14 WNU11 76400.2 0.389 0.0916 — — — — — — WNU105 77261.2 0.461 L 37 10.6 0.02 83 6.91 L 26 WNU10577263.4 0.396 0.19 18 7.63 0.29 32 — — — CONT. — 0.336 — — 5.77 — — 5.50— — WNU91 76211.4 0.428 0.21 14 — — — 6.61 0.30 9 WNU91 76213.2 0.464 L23 9.57 0.10 27 7.10 L 18 WNU91 76213.4 0.513 L 36 12.3 L 64 7.32 L 21WNU70 78104.1 0.446 0.04 19 9.87 0.04 31 — — — WNU70 78104.3 0.505 0.0334 11.8 0.04 57 7.43 L 23 WNU70 78104.4 0.518 L 38 9.26 0.14 23 6.700.04 11 WNU7 77772.3 — — — 8.96 0.06 19 — — — WNU6 76544.1 — — — 8.820.20 18 7.23 0.02 20 WNU6 76544.4 — — — — — — 6.44 0.20 7 WNU42 76597.10.423 0.03 12 — — — — — — WNU42 76598.1 0.423 0.15 12 9.01 0.09 20 6.540.18 8 WNU34 76588.5 — — — — — — 6.44 0.19 7 WNU14 77113.11 0.439 0.0717 9.47 0.20 26 — — — WNU14 77113.4 — — — — — — 6.38 0.28 6 WNU1477113.9 0.432 0.02 15 — — — — — — WNU11 76397.2 0.546 L 45 10.9 L 457.49 L 24 WNU11 76398.1 0.413 0.14 10 — — — — — — WNU11 76399.1 — — — —— — 6.48 0.19 7 WNU11 76400.2 0.423 0.02 12 8.45 0.21 12 — — — WNU10577261.4 0.472 L 26 9.22 0.10 23 6.67 0.15 10 CONT. — 0.376 — — 7.51 — —6.04 — — WNU99 77100.3 0.395 L 30 — — — — — — WNU98 77462.4 0.390 0.0128 6.49 0.21 11 6.24 0.27 9 WNU97 77181.4 0.389 0.02 28 — — — — — —WNU97 77182.2 0.359 0.10 18 7.05 0.21 21 — — — WNU94 78108.3 0.378 0.0124 6.74 0.18 15 6.24 0.11 9 WNU94 78110.3 0.347 0.10 14 — — — — — — WNU976612.1 0.377 0.04 24 6.50 0.12 11 6.45 0.03 12 WNU9 76615.4 — — — — — —6.27 0.26 9 WNU9 76615.6 0.378 0.10 24 7.05 0.26 20 — — — WNU83 75821.80.395 L 30 — — — — — — WNU83 75823.10 0.376 0.05 23 — — — — — — WNU8178097.2 0.391 0.01 28 7.15 0.14 22 6.34 0.13 11 WNU81 78097.5 0.374 0.0723 — — — — — — WNU5 76044.2 0.358 0.11 18 6.69 0.08 14 6.45 0.04 12 WNU576045.7 0.383 0.12 26 — — — 6.49 0.12 13 WNU46 77021.3 0.337 0.20 10 — —— — — — WNU46 77024.3 0.339 0.30 11 7.03 0.20 20 6.55 0.04 14 WNU4179012.2 0.337 0.28 11 — — — — — — WNU41 79012.4 0.434 L 42 7.55 0.03 296.21 0.14 8 WNU41 79013.1 0.354 0.07 16 — — — — — — WNU38 76594.5 0.3960.06 30 7.15 0.12 22 — — — WNU38 76595.11 0.362 0.13 19 6.88 0.26 176.35 0.09 11 WNU35 75793.1 0.389 L 28 — — — — — — WNU31 75786.3 0.397 L30 6.74 0.08 15 — — — WNU31 75790.2 0.424 L 39 7.27 0.19 24 6.35 0.10 11WNU31 75790.7 0.397 0.02 30 — — — — — — WNU20 78336.5 0.335 0.29 10 — —— — — — WNU20 78340.1 0.399 L 31 7.45 L 27 6.62 0.02 15 WNU20 78340.50.366 0.03 20 7.29 0.09 24 6.36 0.13 11 CONT. — 0.305 — — 5.85 — — 5.74— — WNU103_H11 78346.4 0.399 0.024 25 9.27 0.09 29 6.90 0.008 16WNU103_H11 78347.1 — — — 8.98 0.12 25 — — — WNU22_H1 79403.1 0.359 0.24613 — — — 6.40 0.253 8 WNU22_H1 79405.2 0.389 0.023 22 8.36 0.28 16 — — —WNU22_H1 79464.2 0.381 0.090 20 8.63 0.26 20 6.57 0.124 11 CONT. — 0.319— — 7.18 — — 5.93 — — Table 77. “CONT.”—Control; “Ave.”—Average; “%Incr.” = % increment; “p-val.”—p-value; L means that p-value is lessthan 0.01, p < 0.1 was considered as significant.

TABLE 78 Genes showing improved plant performance at nitrogen deficientconditions (T1 generation) Dry Weight [mg] Gene Name Ave. P-Val. % Incr.WNU90 6.35 0.09 25 WNU1 6.00 0.10 18 CONT. 5.07 — — Table 78:“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment.“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

The genes listed in Table 79 have improved plant relative growth rate(relative growth rate of the leaf area, root coverage and root length)when grown under limiting nitrogen growth conditions, compared tocontrol plants (T2 generation) that were grown under identical growthconditions. Plants showing fast growth rate show a better plantestablishment in soil under nitrogen deficient conditions. Faster growthwas observed when growth rate of leaf area, root length and rootcoverage was measured.

TABLE 79 Genes showing improved plant growth rate at nitrogen deficientconditions (T2 generation) RGR Of Roots RGR Of Root RGR Of Leaf AreaCoverage Length P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave.Val. Incr. Ave. Val. Incr. WNU98 77462.2 0.0444 0.16 16 — — — — — —WNU98 77465.1 0.0446 0.11 17 1.33 0.03 22 — — — WNU97 77182.2 — — — 1.280.12 17 — — — WNU94 78108.3 — — — 1.37 0.02 25 0.630 0.21 11 WNU8375821.7 — — — — — — 0.0619 0.25 9 WNU81 78098.2 0.0427 0.27 12 — — — — —— WNU41 79012.2 — — — 1.75 L 61 0.620 0.25 9 WNU41 79012.4 0.0443 0.1516 — — — — — — WNU41 79013.1 — — — 1.23 0.17 12 — — — WNU38 76595.110.0425 0.27 11 — — — — — — WNU31 75790.2 — — — 1.25 0.13 15 — — — WNU3175790.7 — — — 1.41 0.05 30 — — — WNU20 78339.2 0.0429 0.24 12 — — — — —— WNU20 78340.5 — — — 1.37 L 26 — — — WNU17 76556.3 — — — 1.47 L 35 — —— WNU17 76559.1 — — — 1.25 0.20 15 — — — CONT. — 0.0383 — — 1.09 — —0.569 — — WNU96 75816.4 0.0358 0.25 18 1.34 L 55 0.604 0.27 13 WNU9675820.6 — — — — — — 0.612 0.19 14 WNU93 76607.13 0.0382 0.11 26 1.27 L46 — — — WNU93 76607.9 — — — 1.08 0.16 25 — — — WNU93 76609.3 0.03770.16 24 1.13 0.11 31 0.601 0.29 12 WNU8 77117.1 — — — 1.03 0.30 19 — — —WNU76 77092.1 0.0413 0.05 36 — — — — — — WNU76 77095.2 — — — 1.13 0.0730 — — — WNU49 75796.8 0.0370 0.16 22 — — — — — — WNU40 78091.1 0.03710.14 22 — — — — — — WNU40 78092.5 — — — 1.25 0.01 44 — — — WNU37 77766.20.0370 0.16 22 1.12 0.09 30 — — — WNU37 77767.1 0.0369 0.19 22 1.09 0.1227 — — — WNU37 77767.3 0.0368 0.17 21 1.32 L 52 0.612 0.22 14 WNU2378341.7 0.0354 0.27 17 — — — 0.603 0.28 13 WNU23 78343.1 0.0408 0.05 341.17 0.07 35 0.648 0.10 21 WNU23 78344.2 0.0365 0.18 20 — — — — — —WNU102 76549.12 0.0418 0.02 38 1.44 L 67 — — — WNU102 76550.4 0.04230.01 39 1.48 L 71 0.605 0.26 13 WNU100 77989.3 0.0385 0.08 27 1.03 0.2119 — — — WNU100 78026.6 0.0362 0.22 19 — — — — — — WNU100 78029.3 — — —1.21 0.02 40 0.615 0.18 15 CONT. — 0.0304 — — 0.865 — — 0.535 — — WNU9176213.4 0.0355 0.27 13 — — — 0.553 0.04 17 WNU70 78102.7 0.0373 0.17 191.02 L 51 0.577 L 22 WNU70 78104.1 0.0388 0.06 24 0.934 0.04 39 0.5680.09 20 WNU70 78104.3 — — — — — — 0.566 0.01 20 WNU61 78014.1 0.03580.19 15 0.784 0.29 16 0.551 0.02 16 WNU61 78014.2 — — — 1.02 0.03 510.525 0.18 11 WNU61 78015.10 0.0366 0.12 17 — — — 0.536 0.10 13 WNU676542.5 0.0402 0.04 29 1.49 L 121 0.553 0.08 17 WNU6 76544.1 0.0369 0.1118 0.893 0.04 32 0.531 0.09 12 WNU55 77632.3 — — — 0.902 0.06 34 — — —WNU55 77632.6 — — — 0.958 0.02 42 — — — WNU51 79018.6 0.0370 0.14 180.892 0.07 32 0.580 L 22 WNU51 79019.2 0.0353 0.29 13 0.861 0.12 280.544 0.08 15 WNU11 76397.2 0.0360 0.29 15 0.912 0.06 35 0.534 0.28 13WNU11 76398.1 — — — — — — 0.518 0.25 10 WNU105 77261.2 0.0408 0.01 301.25 L 89 0.602 L 27 WNU105 77263.4 0.0377 0.14 20 0.920 0.10 36 0.5440.11 15 CONT. — 0.0313 — — 0.674 — — 0.473 — — WNU91 76211.4 — — — 1.080.18 21 0.606 0.29 10 WNU91 76213.2 0.0443 0.12 21 1.12 0.06 26 — — —WNU91 76123.4 0.0466 0.05 28 1.46 L 63 0.640 0.02 16 WNU70 78104.1 — — —1.18 0.02 32 — — — WNU70 78104.3 0.0461 0.07 26 1.39 L 56 0.634 0.05 15WNU70 78104.4 0.0457 0.06 25 1.11 0.08 24 0.622 0.07 13 WNU7 77772.3 — —— 1.08 0.11 21 — — — WNU7 77775.1 — — — 1.06 0.26 19 — — — WNU6 76544.10.0425 0.25 17 1.05 0.20 17 0.643 0.03 17 WNU42 76598.1 0.0426 0.24 171.07 0.13 20 0.599 0.25 9 WNU14 77113.11 — — — 1.11 0.10 24 — — — WNU1176397.2 0.0504 L 38 1.29 L 44 0.626 0.08 13 WNU105 77261.4 0.0446 0.1122 1.09 0.10 22 — — — CONT. — 0.0365 — — 0.893 — — 0.552 — — WNU9977100.3 0.0366 0.10 27 — — — — — — WNU97 77181.4 0.0386 0.06 34 — — —0.559 0.12 17 WNU97 77182.2 0.0348 0.21 21 0.837 0.17 21 — — — WNU9478108.3 0.0367 0.09 27 0.798 0.24 15 — — — WNU94 78110.3 0.0339 0.26 18— — — — — — WNU9 76612.1 0.0358 0.16 24 — — — 0.573 0.06 20 WNU9 76615.60.0345 0.27 20 0.838 0.16 21 — — — WNU83 75821.8 0.0370 0.08 29 — — —0.546 0.18 14 WNU81 78097.2 0.0370 0.09 28 0.850 0.11 23 0.543 0.24 13WNU81 78097.5 0.0360 0.15 25 — — — — — — WNU5 76044.2 0.0356 0.17 240.789 0.26 14 0.532 0.27 11 WNU5 76045.7 0.0381 0.09 32 0.824 0.20 190.560 0.15 17 WNU46 77024.3 0.0339 0.28 18 0.825 0.17 19 0.535 0.28 12WNU41 79012.4 0.0420 0.01 46 0.894 0.05 29 — — — WNU41 79013.1 0.03470.20 20 — — — — — — WNU38 76594.5 0.0388 0.06 35 0.851 0.11 23 0.5360.30 12 WNU38 76595.11 0.0359 0.17 25 0.811 0.23 17 — — — WNU35 75793.10.0363 0.11 26 — — — 0.576 0.06 20 WNU31 75786.3 0.0361 0.11 25 0.8030.18 16 — — — WNU31 75790.2 0.0371 0.10 29 0.863 0.11 25 0.580 0.06 21WNU31 75790.7 0.0374 0.10 30 — — — — — — WNU20 78336.5 — — — — — — 0.5470.19 14 WNU20 78340.1 0.0384 0.05 33 0.879 0.03 27 0.574 0.06 20 WNU2078340.5 0.0345 0.23 20 0.866 0.08 25 — — — CONT. — 0.0288 — — 0.692 — —0.479 — — WNU103_H11 78346.4 0.0378 0.117 24 1.117 0.088 29 0.604 0.25213 WNU103_H11 78347.1 — — — 1.053 0.203 22 — — — WNU22_H1 79464.2 — — —1.035 0.250 20 — — — CONT. — 0.030 — — 0.865 — — 0.535 — — Table 79.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

The genes listed in Tables 80-83 improved plant NUE when grown atstandard nitrogen concentration levels. These genes produced largerplant biomass (plant fresh and dry weight; leaf area, root coverage androots length) when grown under standard nitrogen growth conditions,compared to control plants that were grown under identical growthconditions in T2 (Tables 80-81) and T1 (Tables 82-83) generations.Larger plant biomass under these growth conditions indicates the highability of the plant to better metabolize the nitrogen present in themedium. Plants producing larger root biomass have better possibilitiesto absorb larger amount of nitrogen from soil.

TABLE 80 Genes showing improved plant performance at standard nitrogengrowth conditions (T2 generation) Dry Weight [mg] Fresh Weight [mg] % %Gene Name Event # Ave. P-Val. Incr. Ave. P-Val. Incr. WNU91 76213.2 3.500.24 19 — — — WNU70 78102.7 4.67 0.20 59 66.9 L 35 WNU70 78104.1 4.770.12 63 80.5 0.02 63 WNU61 78014.2 6.43 0.14 119 115.2 0.04 133 WNU676542.5 6.12 0.10 109 108.5 0.09 120 WNU6 76544.1 4.45 0.25 51 71.5 0.1845 WNU6 76544.4 5.77 0.02 97 81.7 L 65 WNU55 77632.3 6.28 0.01 114 115.5L 134 WNU55 77632.6 7.03 0.01 139 102.3 0.10 107 WNU55 77634.1 4.35 L 4873.5 L 49 WNU51 79018.4 3.60 L 23 61.8 0.12 25 WNU51 79018.6 4.12 0.2440 71.1 0.18 44 WNU11 76397.2 5.47 L 86 105.4 L 113 WNU105 77261.2 7.580.01 158 133.4 L 170 WNU105 77261.4 5.88 L 100 102.8 0.08 108 WNU10577263.4 4.57 0.07 55 62.8 0.19 27 CONT. — 2.94 — — 49.4 — — WNU9977097.4 4.80 0.24 121 67.2 L 78 WNU99 77099.4 4.75 0.06 118 72.5 0.02 92WNU99 77100.3 3.67 0.06 69 59.5 0.08 57 WNU98 77462.4 3.43 0.02 57 49.80.07 32 WNU98 77463.13 3.95 L 82 60.8 L 61 WNU98 77465.1 — — — 48.3 0.1928 WNU97 77181.4 3.17 0.09 46 54.8 0.06 45 WNU97 77182.2 2.75 0.03 2646.9 0.04 24 WNU94 78108.3 3.38 L 55 58.4 0.03 54 WNU94 78109.1 3.32 L53 46.4 0.17 22 WNU94 78110.3 3.67 0.06 69 53.5 0.21 41 WNU9 76612.12.80 0.06 29 49.5 0.09 31 WNU9 76615.4 2.58 0.14 18 — — — WNU9 76615.64.38 L 101 65.2 0.02 72 WNU83 75821.8 3.67 L 69 51.3 0.01 36 WNU8375823.10 4.68 L 115 65.9 0.01 74 WNU81 78097.2 2.82 0.02 30 — — — WNU8178097.5 4.60 L 111 69.4 0.05 83 WNU81 78098.2 2.73 0.12 25 44.5 0.17 17WNU5 76044.2 3.75 0.02 72 61.2 L 62 WNU5 76045.7 3.17 0.08 46 47.7 0.2026 WNU46 77021.3 4.73 0.04 118 62.8 0.01 66 WNU46 77022.1 3.37 L 55 — —— WNU46 77024.3 2.82 0.02 30 — — — WNU43 77270.2 3.32 L 53 44.9 0.19 19WNU41 79012.2 3.32 0.01 53 55.3 L 46 WNU41 79012.4 4.50 L 107 66.4 0.0175 WNU41 79013.1 3.12 0.13 44 — — — WNU38 76591.4 2.70 0.08 24 — — —WNU38 76594.5 2.93 0.14 34 — — — WNU38 76595.11 2.65 0.30 22 — — — WNU3575792.2 3.58 0.01 64 59.7 L 58 WNU35 75793.1 4.10 L 89 68.1 0.03 80WNU35 75794.1 2.93 0.02 34 45.4 0.10 20 WNU31 75786.3 3.43 L 57 60.50.03 60 WNU31 75790.2 3.97 L 82 54.6 L 44 WNU31 75790.7 3.73 L 71 66.2 L75 WNU20 78340.1 3.38 0.03 55 46.3 0.10 22 WNU20 78340.5 3.47 0.09 6052.9 0.05 40 WNU17 76556.4 3.85 0.02 77 59.9 L 58 WNU17 76557.4 2.620.22 21 42.1 0.28 11 WNU17 76559.1 3.12 0.05 44 59.4 0.05 57 CONT. —2.17 — — 37.8 — — Table 80. “CONT.”—Control; “Ave.”—Average; “% Incr.” =% increment; “p-val.”—p-value; L means that p-value is less than 0.01, p< 0.1 was considered as significant.

TABLE 81 Genes showing improved plant performance at standard nitrogengrowth conditions (T2 generation) Roots Coverage Leaf Area [cm²] [cm²]Roots Length [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave.Val. Incr. Ave. Val. Incr. WNU91 76213.4 0.403 0.27 12 — — — 5.50 0.25 8WNU91 76215.5 — — — 5.60 0.17 34 5.81 0.10 15 WNU70 78102.7 0.498 0.1138 5.99 0.21 44 5.79 0.25 14 WNU70 78104.1 0.485 0.05 35 — — — — — —WNU70 78104.3 — — — 5.34 0.22 28 5.58 0.22 10 WNU61 78014.1 0.451 0.0525 5.34 0.20 28 5.77 0.10 14 WNU61 78014.2 0.585 0.07 63 5.93 0.10 42 —— — WNU61 78015.10 0.387 0.26 8 — — — — — — WNU6 76542.5 0.534 0.10 487.95 0.04 91 6.50 0.02 28 WNU6 76544.4 0.468 L 30 7.51 L 80 6.29 L 24WNU55 77632.3 0.651 L 81 6.31 L 51 5.58 0.27 10 WNU55 77632.6 0.597 L 666.90 0.05 65 — — — WNU55 77634.1 0.442 0.02 23 — — — — — — WNU51 79018.60.465 0.05 29 6.09 0.06 46 5.58 0.22 10 WNU11 76397.2 0.546 L 52 6.81 L63 5.96 0.06 18 WNU11 76400.2 — — — — — — 5.63 0.28 11 WNU105 77261.20.713 L 98 10.2 L 144 6.52 L 29 WNU105 77261.4 0.531 0.02 48 6.30 0.0451 5.94 0.12 17 WNU105 77263.4 0.410 0.08 14 — — — — — — CONT. — 0.360 —— 4.17 — — 5.07 — — WNU99 77097.4 0.409 L 39 5.03 0.04 48 — — — WNU9977099.4 0.440 0.01 49 — — — — — — WNU99 77100.3 0.426 0.01 45 — — — — —— WNU98 77462.4 0.393 L 34 4.94 0.02 46 6.13 0.02 15 WNU98 77463.130.430 L 46 4.30 0.24 27 — — — WNU98 77465.1 0.352 0.11 20 — — — — — —WNU97 77181.4 0.407 0.01 38 5.07 0.10 49 — — — WNU97 77182.2 0.356 0.0421 — — — — — — WNU94 78108.3 0.407 0.02 38 5.24 0.02 54 5.71 0.22 7WNU94 78109.1 0.358 0.04 22 — — — — — — WNU94 78110.3 0.411 L 40 4.630.05 36 — — — WNU9 76612.1 0.416 L 41 5.41 0.01 59 6.27 0.03 17 WNU976615.4 0.336 0.14 14 4.31 0.21 27 5.85 0.25 10 WNU9 76615.6 0.461 L 575.87 L 73 6.37 L 19 WNU83 75821.8 0.448 L 52 4.04 0.27 19 — — — WNU8375823.10 0.485 L 65 6.15 L 81 6.29 L 18 WNU83 75824.4 — — — 4.26 0.23 255.84 0.21 9 WNU81 78097.2 0.344 0.12 17 4.62 0.04 36 5.82 0.14 9 WNU8178097.5 0.442 L 50 5.63 L 66 6.34 0.04 19 WNU5 76044.2 0.413 L 41 6.57 L93 6.44 L 21 WNU5 76045.7 0.355 0.06 21 3.96 0.29 16 5.75 0.27 8 WNU4677021.3 0.454 L 55 — — — — — — WNU46 77022.1 0.359 0.29 22 4.52 0.05 33— — — WNU46 77024.3 0.358 0.04 22 4.56 0.04 34 6.28 L 18 WNU41 79012.20.395 L 34 5.09 0.03 50 — — — WNU41 79012.4 0.479 L 63 5.45 0.08 61 6.010.23 13 WNU41 79013.1 0.402 L 37 4.89 0.04 44 6.00 0.10 12 WNU38 76591.40.357 0.04 22 — — — — — — WNU38 76594.5 0.395 0.05 34 5.00 0.21 47 — — —WNU38 76595.1 0.346 0.13 17 4.69 0.22 38 5.90 0.24 10 WNU35 75792.20.419 L 42 4.84 0.08 42 — — — WNU35 75793.1 0.460 L 56 5.04 0.01 48 — —— WNU35 75794.1 0.341 0.18 16 4.39 0.11 29 5.97 0.14 12 WNU31 75786.30.389 0.02 32 5.11 0.01 50 5.83 0.13 9 WNU31 75790.2 0.399 0.05 36 5.29L 56 — — — WNU31 75790.7 0.430 L 46 4.44 0.08 31 — — — WNU20 78336.5 — —— 5.04 0.18 48 5.97 0.10 12 WNU20 78340.1 0.406 0.01 38 5.63 0.03 666.63 L 24 WNU20 78340.5 0.397 0.06 35 5.82 0.01 71 6.17 0.01 16 WNU1776556.4 0.409 0.03 39 4.67 0.12 37 — — — WNU17 76557.4 0.363 0.02 23 — —— — — — WNU17 76559.1 0.389 0.05 32 5.19 0.10 53 6.07 0.09 14 CONT. —0.294 — — 3.40 — — 5.34 — — Table 81. “CONT.”—Control; “Ave.”—Average;“% Incr.” = % increment; “p-val.”—p-value; L means that p-value is lessthan 0.01, p < 0.1 was considered as significant.

TABLE 82 Genes showing improved plant performance at standard nitrogengrowth conditions (T1 generation) Gene Dry Weight [mg] Fresh Weight [mg]Name Ave. P-Val. % Incr. Ave. P-Val. % Incr. WNU1 7.73 0.17 48 119.60.10 64 CONT. 5.23 — — 73.2 — — Table 82. “CONT.”—Control;“Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means thatp-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 83 Genes showing improved plant performance at standard nitrogengrowth conditions (T1 generation) Leaf Area Roots Coverage Roots Length[cm²] [cm²] [cm] Gene P- % P- % P- % Name Ave. Val. Incr. Ave. Val.Incr. Ave. Val. Incr. WNU69 0.701 0.25 18 7.19 0.07 39 6.53 0.03 24WNU12 — — — — — — 5.64 0.28  7 CONT. 0.592 — — 5.18 — — 5.28 — — Table83: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p−value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

The genes listed in Table 84-85 improved plant relative growth rate (RGRof leaf area, root length and root coverage) when grown at standardnitrogen concentration levels. These genes produced plants that grewfaster than control plants when grown under standard nitrogen growthconditions. Faster growth was observed when growth rate of leaf area,root length and root coverage was measured.

TABLE 84 Genes showing improved growth rate at standard nitrogen growthconditions (T2 generation) RGR Of Leaf Area RGR Of Roots Coverage RGR OfRoot Length % % % Gene Name Event # Ave. P-Val. Incr. Ave. P-Val. Incr.Ave. P-Val. Incr. WNU91 76215.5 — — — 0.650 0.16  34 — — — WNU70 78102.70.0473 0.05  34 0.706 0.09  46 — — — WNU70 78104.1 0.0468 0.03  33 — — —— — — WNU70 78104.3 — — — 0.618 0.25  28 — — — WNU61 78014.1 0.0430 0.13 22 0.636 0.17  32 0.512 0.23 16 WNU61 78014.2 0.0583 L  66 0.698 0.10 44 — — — WNU6 76542.5 0.0518 0.03  47 0.921 L  90 0.528 0.19 20 WNU676544.4 0.0410 0.20  16 0.879 L  82 0.527 0.16 20 WNU55 77632.3 0.0599 L 70 0.736 0.02  52 — — — WNU55 77632.6 0.0581 L  65 0.808 0.01  67 — — —WNU55 77634.1 0.0428 0.12  22 — — — — — — WNU51 79018.6 0.0462 0.04  310.740 0.03  53 0.562 0.05 28 WNU11 76397.2 0.0522 L  48 0.807 0.01  670.546 0.13 24 WNU105 77261.2 0.0705 L 100 1.17 L 141 0.546 0.08 24WNU105 77261.4 0.0507 L  44 0.710 0.05  47 — — — WNU105 77263.4 0.04140.24  18 — — — — — — CONT. — 0.0352 — — 0.484 — — 0.440 — — WNU9977097.4 0.0393 0.08  38 0.594 0.05  51 — — — WNU99 77099.4 0.0422 0.02 49 — — — — — — WNU99 77100.3 0.0398 0.03  40 — — — — — — WNU98 77462.40.0361 0.11  27 0.567 0.03  44 0.504 0.17 15 WNU98 77463.13 0.0430 L  510.495 0.22  25 — — — WNU97 77181.4 0.0402 0.02  42 0.585 0.04  48 — — —WNU97 77182.2 0.0347 0.29  22 — — — — — — WNU94 78108.3 0.0399 0.03  400.623 L  58 0.497 0.20 14 WNU94 78109.1 0.0340 0.22  20 — — — — — —WNU94 78110.3 0.0415 0.02  46 0.552 0.08  40 — — — WNU9 76612.1 0.03930.03  38 0.651 L  65 0.538 0.05 23 WNU9 76615.4 — — — 0.494 0.21  25 — —— WNU9 76615.6 0.0437 L  54 0.674 L  71 0.510 0.14 17 WNU83 75821.80.0444 L  56 0.486 0.23  23 — — — WNU83 75823.10 0.0473 L  66 0.717 L 82 0.557 0.02 27 WNU83 75824.4 — — — 0.486 0.25  23 — — — WNU81 78097.2— — — 0.557 0.04  41 0.546 0.03 25 WNU81 78097.5 0.0453 L  59 0.654 L 66 0.523 0.15 19 WNU5 76044.2 0.0427 L  50 0.767 L  94 0.530 0.07 21WNU5 76045.7 0.0340 0.21  20 — — — — — — WNU46 77021.3 0.0430 0.01  51 —— — — — — WNU46 77022.1 0.0357 0.22  26 0.543 0.08  38 0.506 0.21 16WNU46 77024.3 0.0351 0.14  24 0.524 0.09  33 0.521 0.08 19 WNU41 79012.20.0387 0.03  36 0.595 0.02  51 — — — WNU41 79012.4 0.0451 L  59 0.6340.01  61 — — — WNU41 79013.1 0.0399 0.02  41 0.560 0.05  42 — — — WNU3876591.4 0.0346 0.18  22 — — — — — — WNU38 76594.5 0.0400 0.02  41 0.5940.05  51 0.516 0.19 18 WNU38 76595.11 0.0350 0.15  23 0.546 0.10  38 — —— WNU35 75792.2 0.0406 0.01  43 0.586 0.03  49 0.523 0.10 19 WNU3575793.1 0.0457 L  61 0.597 0.02  51 — — — WNU35 75794.1 — — — 0.508 0.14 29 — — — WNU31 75786.3 0.0376 0.06  32 0.608 L  54 — — — WNU31 75790.20.0366 0.13  29 0.628 L  59 0.504 0.22 15 WNU31 75790.7 0.0409 0.01  440.515 0.12  31 — — — WNU20 78336.5 — — — 0.600 0.04  52 0.508 0.16 16WNU20 78340.1 0.0403 0.02  42 0.649 L  65 0.558 0.02 28 WNU20 78340.50.0388 0.06  37 0.690 L  75 0.494 0.22 13 WNU17 76556.4 0.0396 0.04  390.537 0.10  36 — — — WNU17 76557.4 0.0352 0.14  24 — — — 0.509 0.15 16WNU17 76559.1 0.0383 0.06  35 0.613 0.02  55 0.517 0.14 18 CONT. —0.0284 — — 0.394 — — 0.437 — — Table 84: “CONT.”—Control;“Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means thatp-value is less than 0.01, p < 0.1 was considered as significant.

TABLE 85 Genes showing improved growth rate at standard nitrogen growthconditions (T1 generation) RGR Of Roots RGR Of RGR Of Leaf Area CoverageRoot Length Gene P- % P- % P- % Name Ave. Val. Incr. Ave. Val. Incr.Ave. Val. Incr. WNU69 0.0721 0.11 31 0.864 0.02 43 0.672 L 33 WNU12 — —— — — — 0.550 0.23  9 CONT. 0.0550 — — 0.604 — — 0.506 — — Table 85.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

Example 19 Evaluation of Transgenic Arabidopsis Nue, Yield and PlantGrowth Rate Under Low or Normal Nitrogen Fertilization in GreenhouseAssay

Assay 1: Nitrogen Use Efficiency: Seed Yield, Plant Biomass and PlantGrowth Rate at Limited and Optimal Nitrogen Concentration UnderGreenhouse Conditions (Greenhouse-Seed Maturation)—

This assay follows seed yield production, the biomass formation and therosette area growth of plants grown in the greenhouse at limiting andnon-limiting (optimal) nitrogen growth conditions. TransgenicArabidopsis seeds were sown in agar media supplemented with ½ MS mediumand a selection agent (Kanamycin). The T₂ transgenic seedlings were thentransplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio.The trays were irrigated with a solution containing nitrogen limitingconditions, which were achieved by irrigating the plants with a solutioncontaining 1.5 mM inorganic nitrogen in the form of KNO₃, supplementedwith 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements,while normal nitrogen levels were achieved by applying a solution of 6mM inorganic nitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mMMgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in thegreenhouse until mature seeds. Seeds were harvested, extracted andweighted. The remaining plant biomass (the above ground tissue) was alsoharvested, and weighted immediately or following drying in oven at 50°C. for 24 hours.

Each construct was validated at its T₂ generation. Transgenic plantstransformed with a construct conformed by an empty vector carrying theAt6669 promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, flowering,seed yield, 1,000-seed weight, dry matter and harvest index (HI-seedyield/dry matter). Transgenic plants performance was compared to controlplants grown in parallel under identical growth conditions.Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) orwith no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. Foreach gene of the invention three to five independent transformationevents were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists ofa digital reflex camera (Canon EOS 300D) attached with a 55 mm focallength lens (Canon EF-S series), mounted on a reproduction device(Kaiser RS), which includes 4 light units (4×150 Watts light bulb) wasused for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day1 after transplanting till day 15. Same camera, placed in a custom madeiron mount, was used for capturing images of larger plants sawn in whitetubs in an environmental controlled greenhouse. The tubs were squareshape include 1.7 liter trays. During the capture process, the tubs wereplaced beneath the iron mount, while avoiding direct sun light andcasting of shadows.

An image analysis system was used, which consists of a personal desktopcomputer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ1.39 [Java based image processing program which is developed at the U.S.National Institutes of Health and freely available on the internet atrsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG(Joint Photographic Experts Group standard) format. Next, analyzed datawas saved to text files and processed using the JMP statistical analysissoftware (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated,including leaf number, rosette area, rosette diameter, leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number[Formula VIII (described above)], rosette area [Formula IX (describedabove)], plot coverage [Formula XI (described above)] and harvest index[Formula XV (described above)] was calculated with the indicatedformulas.

Seeds average weight—At the end of the experiment all seeds werecollected. The seeds were scattered on a glass tray and a picture wastaken. Using the digital analysis, the number of seeds in each samplewas calculated.

Dry weight and seed yield—On about day 80 from sowing, the plants wereharvested and left to dry at 30° C. in a drying chamber. The biomass andseed weight of each plot were measured and divided by the number ofplants in each plot. Dry weight=total weight of the vegetative portionabove ground (excluding roots) after drying at 30° C. in a dryingchamber; Seed yield per plant=total seed weight per plant (gr). 1000seed weight (the weight of 1000 seeds) (gr.).

The harvest index (HI) was calculated using Formula XV as describedabove.

Oil percentage in seeds—At the end of the experiment all seeds from eachplot were collected. Seeds from 3 plots were mixed grounded and thenmounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951Biolab Ltd.) were used as the solvent. The extraction was performed for30 hours at medium heat 50° C. Once the extraction has ended then-Hexane was evaporated using the evaporator at 35° C. and vacuumconditions. The process was repeated twice. The information gained fromthe Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmungdes Milchfettes, Polytechnisches J. (Dingier's) 1879, 232, 461) was usedto create a calibration curve for the Low Resonance NMR. The content ofoil of all seed samples was determined using the Low Resonance NMR(MARAN Ultra-Oxford Instrument) and its MultiQuant software package

Silique length analysis—On day 50 from sowing, 30 siliques fromdifferent plants in each plot were sampled in block A. The chosensiliques were green-yellow in color and were collected from the bottomparts of a grown plant's stem. A digital photograph was taken todetermine silique's length.

Statistical analyses—To identify genes conferring significantly improvedtolerance to abiotic stresses, the results obtained from the transgenicplants were compared to those obtained from control plants. To identifyoutperforming genes and constructs, results from the independenttransformation events tested were analyzed separately. Data was analyzedusing Student's t-test and results were considered significant if the pvalue was less than 0.1. The JMP statistics software package was used(Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 86-95 summarize the observed phenotypes of transgenic plantsexogenously expressing the gene constructs using the greenhouse seedmaturation (GH-SM) assays under low nitrogen (Tables 86-90) or normal(standard) nitrogen (Tables 91-95) growth conditions. The evaluation ofeach gene was performed by testing the performance of different numberof events. Event with p-value<0.1 was considered statisticallysignificant.

TABLE 86 Genes showing improved plant performance at low Nitrogen growthconditions under regulation of At6669 promoter Dry Weight Inflorescence[mg] Flowering Emergence P- % P- Gene Name Event # Ave. Val. % Incr.Ave. P-Val. Incr. Ave. Val. % Incr. WNU30 76575.3 — — — 16.4 0.27 −312.6 0.14 −3 WNU101 75778.9 382.5 0.11  4 — — — — — — CONT. — 366.6 — —17.0 — — 13.0 — — WNU85 76838.1 445.4 0.17 19 — — — — — — WNU85 76840.5419.2 0.28 12 — — — — — — WNU82 75806.2 412.5 0.26 10 — — — — — — WNU8275806.4 415.6 0.01 11 — — — — — — WNU82 75807.5 427.1 0.08 14 — — — — —— WNU82 75807.6 430.4 0.12 15 — — — — — — WNU82 75809.3 485.0 0.02 29 —— — — — — WNU80 76403.8 397.5 0.13  6 — — — — — — WNU68 76831.4 411.70.04 10 — — — — — — WNU68 76832.3 453.5 0.02 21 — — — — — — WNU6876835.2 420.4 0.07 12 — — — — — — WNU56 75801.6 402.9 0.08  8 — — — — —— WNU56 75803.7 — — — 17.3 0.19 −3 13.2 0.26 −2 WNU56 75804.3 435.3 L 16— — — — — — CONT. — 374.7 — — 17.8 — — 13.5 — — WNU77 78016.1 491.1 0.1216 — — — — — — WNU77 78016.3 470.0 0.23 11 — — — — — — WNU77 78016.6466.2 0.12 10 — — — — — — WNU77 78016.8 499.6 0.07 18 22.5 0.16 −1 17.60.04 −2 WNU77 78016.9 805.9 0.10 91 — — — — — — WNU77 78017.1 477.1 0.2013 22.5 0.16 −1 — — — WNU77 78018.10 — — — — — — 17.1 0.10 −4 WNU6578006.10 481.0 0.03 14 — — — — — — WNU65 78006.4 446.5 0.22  6 — — — — —— WNU65 78006.7 566.6 0.21 34 — — — — — — WNU65 78006.8 — — — 21.8 0.13−4 17.0 0.11 −5 WNU65 78007.11 470.4 0.06 11 — — — — — — WNU65 78007.14473.4 0.05 12 — — — — — — WNU63 76766.5 454.6 0.18  8 — — — — — — WNU6376768.2 — — — 22.2 0.26 −2 — — — WNU63 76768.5 497.9 0.05 18 — — — 17.60.27 −2 WNU63 76768.9 473.4 0.20 12 — — — — — — WNU63 76770.1 485.2 0.2615 — — — — — — WNU50 78114.2 531.3 L 26 — — — — — — WNU50 78114.6 — — —22.5 0.16 −1 — — — WNU50 78130.2 482.0 L 14 22.5 0.16 −1 17.7 0.24 −1WNU50 78130.8 472.4 0.14 12 — — — — — — WNU19 76567.1 488.8 0.07 16 — —— — — — WNU19 76568.2 464.4 0.16 10 — — — 17.2 0.12 −4 WNU19 76569.2469.0 0.17 11 — — — — — — WNU19 76570.3 — — — 22.2 0.26 −2 16.8 0.07 −6WNU16 77166.4 605.1 0.01 43 21.8 L −4 17.4 L −3 WNU16 77167.1 457.0 0.14 8 — — — — — — WNU16 77167.2 526.3 0.05 25 21.8 0.13 −4 17.2 0.20 −4WNU16 77167.3 — — — 22.2 0.26 −2 17.3 0.28 −3 WNU16 77167.5 — — — 22.50.16 −1 16.6 L −7 WNU16 77169.1 504.6 0.02 19 22.0 0.11 −3 16.8 0.07 −6WNU16 77169.2 — — — 22.0 0.11 −3 16.6 L −7 WNU16 77169.5 — — — — — —17.1 0.13 −4 CONT. — 422.5 — — 22.7 — — 17.9 — — Table 86:“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—pvalue; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918). It should benoted that a negative increment (in percentages) when found in floweringor inflorescence emergence indicates potential for drought avoidance.

TABLE 87 Genes showing improved plant performance at Low N growthconditions under regulation of At6669 promoter Leaf Blade Area PlotCoverage [cm²] Leaf Number [cm²] P- P- P- Gene Name Event # Ave. Val. %Incr. Ave. Val. % Incr. Ave. Val. % Incr. WNU30 76572.4 1.20 L 21 — — —63.9 L 16 WNU30 76574.1 1.16 0.08 16 — — — 63.8 0.09 16 WNU30 76575.31.15 0.08 16 — — — 60.9 0.02 11 WNU101 75778.2 1.11 0.04 12 — — — 60.70.13 10 WNU101 75778.3 1.10 0.19 10 — — — — — — WNU101 75778.4 1.12 0.1512 — — — 63.2 0.14 15 WNU101 75778.9 — — — — — — 57.5 0.29  5 WNU10175780.1 — — — — — — 62.9 0.20 14 CONT. — 0.995 — —  9.75 — — 55.1 — —WNU85 76836.2 1.50 0.22  9 — — — 88.4 0.19 11 WNU85 76837.7 1.60 0.03 16— — — 90.0 0.15 13 WNU82 75806.2 1.49 0.13  8 — — — 84.6 0.24  6 WNU8275809.3 1.49 0.12  8 — — — 86.9 0.09  9 WNU80 76404.3 — — — — — — 89.90.23 13 WNU80 76405.5 1.56 0.02 13 — — — 88.1 0.05 11 WNU68 76831.4 1.480.23  7 — — — 85.5 0.17  8 WNU68 76833.7 1.63 0.02 18 — — — 96.9 0.04 22WNU68 76835.2 1.47 0.14  6 — — — 87.2 0.06 10 WNU56 75801.10 1.50 0.16 9 — — — — — — WNU56 75803.9 — — — 11.6 0.28 2 — — — CONT. — 1.38 — —11.4 — — 79.6 — — WNU77 78016.3 1.12 0.20 21 — — — 64.2 0.22 20 WNU7778016.6 0.974 0.12  6 — — — — — — WNU77 78016.8 1.17 0.04 27 10.4 L 469.6 L 30 WNU77 78017.1 1.07 0.17 16 — — — 62.2 0.25 16 WNU77 78018.101.10 L 19 10.5 0.18 6 64.3 L 20 WNU65 78006.8 0.970 0.10  5 10.2 0.14 357.1 0.05  7 WNU50 78114.5 1.01 0.09  9 — — — 56.9 0.23  7 WNU50 78130.21.02 0.27 11 — — — — — — WNU19 76569.3 — — — 10.2 0.24 2 — — — WNU1677167.5 1.03 0.22 12 — — — — — — WNU16 77169.1 1.06 0.01 15 10.6 0.03 662.3 L 17 WNU16 77169.2 1.04 0.07 13 — — — 61.8 L 16 CONT. — 0.922 — — 9.97 — — 53.4 — — Table 87. “CONT.”—Control; “Ave.”—Average; “% Incr ”= % increment; “p-val.”—p-value; L means that p-value is less than 0.01,p < 0.1 was considered as significant. The transgenes were under thetranscriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 88 Genes showing improved plant performance at low Nitrogen growthconditions under regulation of At6669 promoter RGR Of Leaf RGR OfRosette Number RGR Of Plot Coverage Diameter P- P- % P- Gene Name Event# Ave. Val. % Incr. Ave. Val. Incr. Ave. Val. % Incr. WNU30 76572.4 — —— 10.1 0.20 11 0.437 0.29  5 WNU30 76574.1 — — — 10.2 0.20 11 0.446 0.15 7 WNU101 75778.4 0.732 0.24  9  9.99 0.28  9 0.452 0.09  9 WNU10175780.1 — — — 10.2 0.20 11 0.464 0.04 12 CONT. — 0.671 — —  9.14 — —0.415 — — WNU85 76836.1 0.856 0.13 13 — — — — — — WNU85 76836.2 — — —12.7 0.23 12 0.508 0.29  9 WNU85 76837.7 — — — 12.6 0.24 12 0.515 0.2211 WNU82 75809.3 — — — 12.6 0.27 11 0.511 0.25 10 WNU80 76404.3 0.8290.27  9 13.2 0.10 17 — — — WNU80 76405.5 — — — — — — 0.538 0.14 16 WNU6876831.4 — — — — — — 0.513 0.24 10 WNU68 76833.7 — — — 13.8 0.03 22 0.5380.07 16 WNU68 76835.2 — — — 12.5 0.30 10 0.511 0.25 10 WNU56 75801.10 —— — — — — 0.525 0.14 13 WNU56 75801.6 — — — — — — 0.511 0.26 10 WNU5675803.9 0.825 0.30  9 — — — — — — WNU56 75804.3 0.826 0.27  9 — — — — —— CONT. — 0.757 — — 11.3 — — 0.465 — — WNU77 78016.3 0.734 0.29  7  9.700.01 24 0.436 0.02 17 WNU77 78016.6 — — —  8.54 0.27  9 0.413 0.10 11WNU77 78016.8 — — — 10.5 L 34 0.444 L 19 WNU77 78017.1 — — —  9.30 0.0319 0.414 0.12 11 WNU77 78018.10 — — —  9.40 0.01 20 0.412 0.11 11 WNU6578007.3 0.738 0.23  7 — — — — — — WNU63 76766.5 — — — — — — 0.399 0.29 7 WNU63 76768.8 — — — — — — 0.407 0.20  9 WNU50 78114.5 — — — — — —0.411 0.12 10 WNU50 78130.1 — — — — — — 0.406 0.19  9 WNU50 78130.2 — ——  8.81 0.17 13 — — — WNU19 76568.2 — — — — — — 0.407 0.30  9 WNU1976570.3 — — —  8.75 0.21 12 — — — WNU16 77167.3 — — —  9.43 0.07 20 — —— WNU16 77167.5 — — —  8.75 0.18 12 0.401 0.28  8 WNU16 77169.1 — — — 8.93 0.08 14 0.402 0.24  8 WNU16 77169.2 — — —  8.84 0.11 13 — — —CONT. — 0.689 — —  7.83 — — 0.373 — — Table 88. “CONT.”—Control;“Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means thatp-value is less than 0.01 p < 0.1 was considered as significant. Thetransgenes were under the transcriptional regulation of the new At6669promoter (SEQ ID NO: 6918).

TABLE 89 Genes showing improved plant performance at low Nitrogen growthconditions under regulation of At6669 promoter Rosette Area RosetteHarvest Index [cm²] Diameter [cm] P- P- P- Gene Name Event # Ave. Val. %Incr. Ave. Val. % Incr. Ave. Val. % Incr. WNU30 76572.4 — — —  7.99 L 164.62 L  8 WNU30 76574.1 — — —  7.98 0.09 16 4.70 0.06  9 WNU30 76575.30.395 0.18 14  7.61 0.02 11 4.56 0.01  6 WNU101 75778.2 0.374 0.12  8 7.58 0.13 10 4.52 0.13  5 WNU101 75778.4 — — —  7.90 0.14 15 4.73 0.1010 WNU101 75778.9 — — —  7.19 0.29  5 — — — WNU101 75780.1 — — —  7.870.20 14 4.82 0.17 12 WNU101 75780.2 0.384 0.03 11 — — — — — — CONT. —0.347 — —  6.88 — — 4.29 — — WNU85 76836.1 0.418 L 19 — — — — — — WNU8576836.2 0.375 0.07  6 11.1 0.19 11 5.50 0.03  9 WNU85 76837.2 0.399 0.0813 — — — — — — WNU85 76837.7 0.383 0.02  9 11.2 0.15 13 5.54 0.07  9WNU85 76838.2 0.389 0.03 10 — — — — — — WNU85 76839.1 0.394 0.14 12 — —— — — — WNU85 76840.1 0.377 0.26  7 — — — — — — WNU82 75806.2 — — — 10.60.24  6 5.35 0.19  6 WNU82 75806.3 0.378 0.02  7 — — — — — — WNU8275809.3 — — — 10.9 0.09  9 5.42 0.13  7 WNU82 75809.4 — — — 11.0 0.25 115.36 0.27  6 WNU80 76403.1 0.383 0.22  9 — — — — — — WNU80 76403.8 0.3770.04  7 — — — — — — WNU80 76404.3 0.384 0.24  9 11.2 0.23 13 5.44 0.15 7 WNU80 76404.5 0.383 0.17  9 — — — — — — WNU80 76405.5 — — — 11.0 0.0511 5.53 0.08  9 WNU68 76831.2 — — — — — — 5.42 0.19  7 WNU68 76831.4 — —— 10.7 0.17  8 5.48 0.06  8 WNU68 76833.10 0.373 0.14  6 — — — — — —WNU68 76833.7 0.387 0.29 10 12.1 0.04 22 5.73 0.02 13 WNU68 76835.2 — —— 10.9 0.06 10 5.46 0.02  8 WNU56 75801.10 — — — — — — 5.44 0.12  7WNU56 75801.9 0.382 0.11  8 — — — — — — WNU56 75803.7 — — — — — — 5.280.24  4 WNU56 75804.1 0.386 0.25 10 — — — — — — CONT. — 0.352 — —  9.94— — 5.07 — — WNU77 78016.3 — — —  8.02 0.22 20 4.76 0.14 12 WNU7778016.5 0.401 0.28 18 — — — — — — WNU77 78016.6 — — — — — — 4.54 0.01  6WNU77 78016.8 — — —  8.70 L 30 4.91 L 15 WNU77 78017.1 — — —  7.77 0.2516 4.64 0.19  9 WNU77 78018.10 — — —  8.03 L 20 4.70 L 10 WNU77 78018.40.363 0.26  7 — — — — — — WNU65 78006.8 — — —  7.14 0.05  7 4.44 0.04  4WNU65 78007.11 0.370 0.13  9 — — — — — — WNU63 76766.5 0.416 0.09 22 — —— — — — WNU63 76766.7 0.384 L 13 — — — — — — WNU63 76768.1 0.402 0.05 18— — — — — — WNU63 76768.2 0.397 0.20 17 — — — — — — WNU50 78114.5 — — — 7.12 0.23  7 4.51 0.01  6 WNU50 78130.1 0.403 0.27 18 — — — — — — WNU5078130.4 0.359 0.28  5 — — — — — — WNU50 78144.2 0.372 0.11  9 — — — — —— WNU19 76567.1 0.394 0.24 16 — — — — — — WNU19 76568.3 0.387 0.14 14 —— — — — — WNU19 76569.3 0.403 L 18 — — — — — — WNU16 77166.3 0.437 0.1128 — — — — — — WNU16 77166.4 — — — — — — 4.48 0.24  5 WNU16 77168.20.395 0.27 16 — — — — — — WNU16 77169.1 — — —  7.79 L 17 4.66 L  9 WNU1677169.2 0.423 L 24  7.72 L 16 4.56 L  7 CONT. — 0.340 — —  6.67 — — 4.27— — Table 89. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 90 Genes showing improved plant performance at low Nitrogen growthconditions under regulation of At6669 promoter Seed Yield 1000 Seed [mg]Weight [mg] Gene P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr.WNU30 76572.1 140.7 0.19 11 — — — WNU30 76575.3 140.0 0.19 11 — — —WNU101 75780.2 137.6 0.17  9 — — — CONT. — 126.5 — — 19.9 — — WNU8576836.2 141.1 0.29  7 — — — WNU85 76837.2 154.8 0.09 17 — — — WNU8576838.1 — — — 23.2 0.04 15 WNU85 76840.5 — — — 23.7 0.17 18 WNU8275806.3 147.8 0.13 12 — — — WNU82 75806.4 — — — 22.2 L 11 WNU82 75807.5155.9 0.03 18 — — — WNU80 76403.1 144.0 0.22  9 — — — WNU80 76403.2 — —— 21.8 0.07  8 WNU80 76403.8 149.8 0.02 14 — — — WNU80 76404.3 148.90.12 13 — — — WNU80 76404.5 141.9 0.20  8 — — — WNU80 76405.6 — — — 22.30.24 11 WNU68 76831.2 146.2 0.19 11 — — — WNU68 76831.4 145.6 0.20 10 —— — WNU68 76832.3 — — — 22.6 0.16 13 WNU68 76833.7 146.7 0.14 11 — — —WNU68 76834.1 141.6 0.25  7 — — — WNU68 76834.3 — — — 20.8 0.21  4 WNU6876835.2 151.0 0.22 15 — — — WNU56 75801.10 145.6 0.21 10 — — — WNU5675801.6 147.1 0.07 12 — — — WNU56 75801.8 151.3 0.26 15 — — — WNU5675801.9 146.8 0.21 11 — — — WNU56 75803.7 — — — 22.2 0.20 11 WNU5675804.1 147.2 0.12 12 — — — CONT. — 131.8 — — 20.1 — — WNU77 78016.1182.5 L 27 — — — WNU77 78016.3 163.6 0.03 14 — — — WNU77 78016.5 175.80.29 22 — — — WNU77 78016.6 174.1 0.25 21 — — — WNU77 78016.8 — — — 21.50.08  7 WNU77 78016.9 — — — 25.2 0.06 26 WNU77 78017.1 168.2 0.02 17 — —— WNU77 78018.10 — — — 21.9 L  9 WNU65 78006.4 168.9 0.29 17 — — — WNU6578006.6 — — — 21.6 0.07  8 WNU65 78006.7 — — — 21.8 0.17  9 WNU6578007.11 174.2 0.07 21 — — — WNU63 76766.5 188.8 0.02 31 — — — WNU6376766.7 165.0 0.28 15 — — — WNU63 76768.5 — — — 21.8 0.06  9 WNU6376768.8 176.6 L 23 — — — WNU63 76770.1 185.3 0.21 29 — — — WNU50 78114.2— — — 22.0 0.07 10 WNU50 78114.6 — — — 21.5 L  8 WNU50 78130.1 169.30.19 18 — — — WNU50 78130.2 — — — 21.0 0.22  5 WNU50 78130.8 156.7 0.14 9 — — — WNU50 78144.2 155.1 0.29  8 — — — WNU19 76567.1 191.5 0.02 33 —— — WNU19 76568.2 — — — 22.2 0.01 11 WNU19 76568.3 176.1 0.24 22 — — —WNU19 76569.2 — — — 23.0 L 15 WNU19 76569.3 154.4 0.25  7 — — — WNU1976569.4 — — — 20.1 0.20  1 WNU19 76570.3 — — — 21.8 0.09  9 WNU1677166.3 175.5 0.12 22 — — — WNU16 77166.4 — — — 23.0 0.03 15 WNU1677167.1 182.0 0.20 27 — — — WNU16 77167.2 — — — 22.7 0.12 14 WNU1677167.3 — — — 22.1 0.03 11 WNU16 77167.5 — — — 20.3 0.10  1 WNU1677169.1 — — — 22.3 0.23 12 WNU16 77169.2 179.7 0.19 25 — — — CONT. —143.8 — — 20.0 — — Table 90. “CONT.”—Control; “Ave.”—Average; “% Incr.”= % increment; “p-val.”—p-value; L means that p-value is less than 0.01,p < 0.1 was considered as significant. The transgenes were under thetranscriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 91 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Inflorescence Dry Weight[mg] Flowering Emergence P- % P- % P- Gene Name Event # Ave. Val. Incr.Ave. Val. Incr. Ave. Val. % Incr. WNU30 76575.1 — — — 16.8 0.15 −3 12.30.02 −6 WNU101 75778.8 721.7 0.10 9 — — — — — — CONT. — 659.7 — — 17.4 —— 13.1 — — WNU85 76838.1 — — — — — — 13.3 0.22 −4 WNU85 76840.5 860.40.09 13 — — — — — — WNU68 76831.4 799.2 0.25 5 — — — — — — WNU6876833.10 807.0 0.29 6 — — — — — — WNU56 75801.8 — — — 17.3 0.08 −7 12.8L −7 WNU56 75803.7 — — — 17.9 L −3 — — — WNU56 75804.1 — — — 18.0 0.16−3 — — — CONT. — 758.9 — — 18.5 — — 13.8 — — WNU77 78016.8 854.2 0.05 522.6 0.03 −3 17.3 0.20 −4 WNU77 78016.9 1234.4 L 52 — — — 17.3 0.27 −3WNU77 78018.10 897.9 0.01 11 — — — 17.3 0.24 −4 WNU65 78006.6 884.9 0.239 — — — — — — WNU65 78006.7 985.7 0.03 21 — — — — — — WNU65 78006.8 — —— — — — 17.0 0.04 −5 WNU63 76768.2 — — — 22.6 0.03 −3 16.8 0.02 −7 WNU6376768.8 — — — 22.6 0.04 −3 16.6 L −8 WNU50 78114.2 937.1 L 15 — — — — —— WNU50 78114.6 873.8 0.04 8 — — — — — — WNU50 78130.2 911.7 0.27 12 — —— — — — WNU19 76567.1 — — — 22.8 0.30 −2 — — — WNU19 76568.2 — — — 21.8L −6 16.8 0.06 −6 WNU19 76569.2 — — — 22.8 0.30 −2 17.5 0.02 −2 WNU1976569.3 — — — 22.5 L −3 17.4 0.03 −3 WNU19 76569.4 866.1 0.22 7 — — — —— — WNU19 76570.3 935.2 0.05 15 — — — 17.0 0.05 −5 WNU19 76570.7 — — —22.6 0.03 −3 17.6 0.23 −2 WNU16 77166.4 1104.9 0.05 36 22.1 0.07 −5 16.7L −7 WNU16 77167.2 939.5 0.04 16 22.0 L −5 16.1 0.02 −10 WNU16 77167.3942.6 0.01 16 22.6 0.04 −3 17.2 0.10 −4 WNU16 77169.1 904.9 0.18 12 — —— 17.3 0.15 −3 WNU16 77169.2 863.9 0.21 6 22.2 0.04 −5 16.5 L −8 WNU1677169.5 — — — 22.5 0.15 −3 — — — CONT. — 811.5 — — 23.3 — — 17.9 — —Table 91. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 92 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Leaf Blade Area [cm²]Leaf Number Plot Coverage [cm²] Gene Name Event # Ave. P-Val. % Incr.Ave. P-Val. % Incr. Ave. P-Val. % Incr. WNU30 76572.1 1.15 0.22  7 — — —— — — WNU30 76575.1 1.20 0.05 12 — — — 67.5 0.06 10 WNU30 76575.3 1.190.27 10 — — — — — — WNU101 75778.5 1.18 0.08 10 — — — — — — WNU10175778.8 — — — 10.2 0.24  3 — — — WNU101 75780.1 — — — 10.2 0.21  3 — — —CONT. — 1.07 — —  9.91 — — 61.1 — — WNU85 76836.1 1.62 0.02 13 11.7 0.29 4 98.4 0.04 16 WNU85 76836.2 1.57 0.06 10 11.9 0.15  6 94.5 0.04 11WNU85 76840.5 1.57 0.10 10 — — — 93.3 0.08 10 WNU82 75806.4 1.57 0.21 10— — — — — — WNU82 75807.6 — — — 11.8 0.23  4 — — — WNU82 75809.4 — — —11.7 0.12  3 — — — WNU80 76404.3 1.50 0.29  5 — — — — — — WNU68 76833.71.55 0.10  8 — — — 91.8 0.23  8 WNU56 75801.10 1.57 0.05 10 — — — — — —WNU56 75801.9 1.56 0.16  9 — — — 90.5 0.27  7 WNU56 75803.7 1.57 0.12  9— — — 94.2 0.08 11 WNU56 75804.1 1.59 0.06 11 — — — 92.0 0.27  9 CONT. —1.43 — — 11.3 — — 84.8 — — WNU77 78016.8 1.17 0.20 16 10.3 0.28  4 66.20.28 16 WNU63 76768.5 — — — 10.4 0.25  5 — — — WNU63 76768.8 1.12 0.2011 10.2 0.25  4 69.0 0.10 20 WNU19 76568.2 1.10 0.06  9 — — — 63.3 0.1011 WNU19 76569.2 — — — 10.1 0.21  2 — — — WNU19 76570.3 1.10 0.24  910.4 L  5 65.2 0.02 14 WNU19 76570.7 — — — 10.5 0.02  6 — — — WNU1677167.2 — — — 10.7 0.19  8 67.0 0.22 17 WNU16 77169.2 — — — 10.9 0.05 1068.1 0.22 19 CONT. — 1.01 — —  9.89 — — 57.2 — — Table 92.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 93 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter RGR Of Rosette RGR OfLeaf Number RGR Of Plot Coverage [cm²/day] Diameter [cm/day] Gene P- %P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr.WNU101 75780.1 — — — — — — 0.520 0.22  7 CONT. — 0.681 — — 11.1 — —0.485 — — WNU85 76836.1 — — — 14.7 0.19 13 0.594 0.26  9 CONT. — — — —13.0 — — 0.543 — — WNU77 78016.8 — — —  9.76 0.20 14 — — — WNU7778018.10 — — —  9.99 0.19 17 — — — WNU77 78018.9 0.735 0.17 12 — — — — —— WNU65 78006.8 — — — 10.1 0.14 18 — — — WNU63 76768.5 0.723 0.27 10 — —— — — — WNU63 76768.8 — — — 10.1 0.10 18 0.460 0.14 12 WNU19 76568.2 — ——  9.63 0.23 13 — — — WNU19 76570.3 — — —  9.54 0.27 12 — — — WNU1976570.7 0.733 0.19 12 — — — — — — WNU16 77167.2 0.730 0.20 11  9.82 0.1815 — — — WNU16 77167.5 0.729 0.21 11 — — — — — — WNU16 77169.2 0.7260.24 11  9.83 0.18 15 — — — CONT. — 0.656 — —  8.54 — — 0.410 — — Table93. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 94 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Harvest Index RosetteArea [cm²] Rosette Diameter [cm] Gene Name Event # Ave. P-Val. % Incr.Ave. P-Val. % Incr. Ave. P-Val. % Incr. WNU30 76572.5 0.476 0.11 12 — —— — — — WNU30 76574.1 0.466 0.10 9 — — — — — — WNU30 76575.1 — — — 8.440.06 10 4.83 0.08 5 WNU30 76575.3 0.457 0.08 7 — — — — — — WNU10175778.2 0.463 0.15 8 — — — — — — WNU101 75778.3 0.459 0.19 7 — — — — — —WNU101 75780.1 — — — — — — 4.96 0.09 8 CONT. — 0.427 — — 7.64 — — 4.60 —— WNU85 76836.1 — — — 12.3 0.04 16 5.91 0.03 9 WNU85 76836.2 — — — 11.80.04 11 5.75 0.08 6 WNU85 76837.7 0.421 0.15 12 — — — — — — WNU8576840.5 — — — 11.7 0.08 10 5.88 0.02 8 WNU82 75806.2 0.406 0.13 8 — — —— — — WNU80 76403.1 0.433 0.22 15 — — — — — — WNU80 76404.3 0.431 0.0514 — — — 5.66 0.21 4 WNU68 76831.4 0.400 0.03 6 — — — — — — WNU6876833.7 — — — 11.5 0.23 8 5.71 0.12 5 WNU56 75801.10 — — — — — — 5.830.03 7 WNU56 75801.8 0.395 0.14 5 — — — — — — WNU56 75801.9 0.412 0.04 911.3 0.27 7 5.64 0.30 4 WNU56 75803.1 0.468 0.23 24 — — — — — — WNU5675803.7 — — — 11.8 0.08 11 5.69 0.16 5 WNU56 75804.1 — — — 11.5 0.27 95.72 0.26 5 CONT. — 0.377 — — 10.6 — — 5.44 — — WNU77 78016.8 — — — — —— 4.80 0.27 7 WNU63 76766.5 0.471 0.07 4 — — — — — — WNU63 76768.8 — — —8.62 0.11 19 4.99 0.05 11 WNU50 78130.1 0.464 0.18 3 — — — — — — WNU5078130.8 0.499 L 11 — — — — — — WNU19 76568.1 0.492 L 9 — — — — — — WNU1976568.2 — — — 7.91 0.13 9 4.84 L 8 WNU19 76569.3 0.477 0.21 6 — — — — —— WNU19 76570.3 — — — 8.34 0.06 16 4.85 0.16 8 WNU16 77167.2 — — — 8.380.24 16 — — — WNU16 77168.2 0.472 0.03 5 — — — — — — WNU16 77169.2 — — —8.51 0.24 18 — — — CONT. — 0.451 — — 7.22 — — 4.49 — — Table 94.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant. The transgenes were under the transcriptionalregulation of the new At6669 promoter (SEQ ID NO: 6918).

TABLE 95 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Seed Yield 1000 Seed [mg]Weight [mg] Gene P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr.WNU30 76572.5 328.7 0.16 17 — — — WNU30 76574.1 293.5 0.07 4 — — — WNU3076574.2 293.4 0.30 4 — — — WNU101 75777.3 304.4 L 8 21.2 0.16 2 WNU10175778.2 — — — 22.7 L 9 WNU101 75778.3 301.2 0.18 7 — — — CONT. — 281.3 —— 20.8 — — WNU85 76840.1 — — — 20.1 0.13 3 WNU85 76840.5 317.6 L 12 21.80.11 11 WNU82 75806.4 — — — 23.9 0.03 22 WNU82 75807.5 — — — 20.3 0.09 4WNU82 75807.6 — — — 21.9 L 12 WNU82 75808.6 — — — 20.5 0.13 5 WNU8275809.3 — — — 21.5 0.03 10 WNU80 76403.2 — — — 24.0 L 23 WNU80 76404.3 —— — 20.2 0.25 3 WNU80 76405.6 — — — 23.6 0.02 21 WNU68 76831.4 319.2 L12 — — — WNU68 76832.1 — — — 20.8 0.26 6 WNU68 76832.3 — — — 22.7 0.0816 WNU68 76833.10 320.8 0.04 13 — — — WNU56 75801.1 — — — 20.9 0.08 7WNU56 75803.7 — — — 21.7 0.17 11 CONT. — 284.7 — — 19.6 — — WNU7778016.8 — — — 23.3 0.07 11 WNU77 78016.9 — — — 29.4 0.03 40 WNU7778018.10 — — — 24.3 0.11 15 WNU65 78006.6 — — — 23.4 0.05 11 WNU6578006.7 — — — 23.4 0.20 11 WNU65 78007.1 — — — 22.3 0.09 6 WNU63 76766.5378.4 0.11 4 — — — WNU63 76768.5 — — — 23.9 0.02 14 WNU50 78114.2 — — —22.8 0.19 8 WNU50 78114.5 384.5 0.02 5 — — — WNU50 78114.6 — — — 24.60.04 17 WNU50 78130.2 — — — 23.3 0.07 10 WNU19 76568.1 397.5 0.04 9 — —— WNU19 76568.2 — — — 23.0 0.08 9 WNU19 76569.2 — — — 22.6 0.15 7 WNU1976569.3 — — — 21.6 0.02 3 WNU19 76569.4 403.2 0.11 10 21.7 0.28 3 WNU1976570.3 — — — 23.9 0.02 14 WNU16 77166.4 — — — 26.6 0.01 26 WNU1677167.2 — — — 23.6 0.14 12 WNU16 77167.3 — — — 24.4 0.08 16 WNU1677169.1 — — — 24.0 0.08 14 WNU16 77169.2 397.4 0.11 9 21.8 0.19 4 CONT.— 364.9 — — 21.1 — — Table 95. “CONT.”—Control; “Ave.”—Average; “%Incr.” = % increment; “p-val.”—p-value; L means that p-value is lessthan 0.01, p < 0.1 was considered as significant. The transgenes wereunder the transcriptional regulation of the new At6669 promoter (SEQ IDNO: 6918).

Example 20 Evaluation of Transgenic Arabidopsis Nue, Yield and PlantGrowth Rate Under Low or Normal Nitrogen Fertilization in GreenhouseAssay

Assay 2: Nitrogen Use Efficiency Measured Until Bolting Stage: PlantBiomass and Plant Growth Rate at Limited and Optimal NitrogenConcentration Under Greenhouse Conditions—

This assay follows the plant biomass formation and the rosette areagrowth of plants grown in the greenhouse at limiting and non-limitingnitrogen growth conditions. Transgenic Arabidopsis seeds were sown inagar media supplemented with ½ MS medium and a selection agent(Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7trays filled with peat and perlite in a 1:1 ratio. The trays wereirrigated with a solution containing nitrogen limiting conditions, whichwere achieved by irrigating the plants with a solution containing 1.5 mMinorganic nitrogen in the form of KNO₃, supplemented with 1 mM KH₂PO₄, 1mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normalnitrogen levels were achieved by applying a solution of 6 mM inorganicnitrogen also in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mMCaCl₂ and microelements. All plants were grown in the greenhouse untilbolting. Plant biomass (the above ground tissue) was weighted indirectly after harvesting the rosette (plant fresh weight [FW]).Following plants were dried in an oven at 50° C. for 48 hours andweighted (plant dry weight [DW]).

Each construct was validated at its T₂ generation. Transgenic plantstransformed with a construct conformed by an empty vector carrying theAt6669 promoter and the selectable marker was used as control.

The plants were analyzed for their overall size, growth rate, freshweight and dry matter. Transgenic plants performance was compared tocontrol plants grown in parallel under the same conditions.Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) orwith no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. Foreach gene of the invention three to five independent transformationevents were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists ofa digital reflex camera (Canon EOS 300D) attached with a 55 mm focallength lens (Canon EF-S series), mounted on a reproduction device(Kaiser RS), which includes 4 light units (4×150 Watts light bulb) wasused for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day1 after transplanting till day 15. Same camera, placed in a custom madeiron mount, was used for capturing images of larger plants sawn in whitetubs in an environmental controlled greenhouse. The tubs were squareshape include 1.7 liter trays. During the capture process, the tubeswere placed beneath the iron mount, while avoiding direct sun light andcasting of shadows.

An image analysis system was used, which consists of a personal desktopcomputer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ1.39 [Java based image processing program which is developed at the U.S.National Institutes of Health and freely available on the internet atrsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG(Joint Photographic Experts Group standard) format. Next, analyzed datawas saved to text files and processed using the JMP statistical analysissoftware (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated,including leaf number, rosette area, rosette diameter, and leaf bladearea.

Vegetative growth rate: the relative growth rate (RGR) of leaf number(Formula VIII, described above), rosette area (Formula IX describedabove) and plot coverage (Formula XI, described above) was calculatedusing the indicated formulas.

Plant Fresh and Dry weight—On about day 80 from sowing, the plants wereharvested and directly weighted for the determination of the plant freshweight (FW) and left to dry at 50° C. in a drying chamber for about 48hours before weighting to determine plant dry weight (DW).

Statistical analyses—To identify genes conferring significantly improvedtolerance to abiotic stresses and improved nitrogen use efficiency, theresults obtained from the transgenic plants were compared to thoseobtained from control plants when grown under identical growthconditions. To identify outperforming genes and constructs, results fromthe independent transformation events tested were analyzed separately.Data was analyzed using Student's t-test and results were consideredsignificant if the p value was less than 0.1. The JMP statisticssoftware package was used (Version 5.2.1, SAS Institute Inc., Cary,N.C., USA).

The genes listed in Tables 96-97 improved plant NUE when grown atlimiting nitrogen concentration levels. These genes produced largerplants with a larger photosynthetic area, biomass (fresh weight, dryweight, leaf number, rosette diameter, rosette area and plot coverage)when grown under limiting nitrogen conditions (nutrient deficiencystress) as compared to control plants grown under identical growthconditions.

TABLE 96 Genes showing improved plant biomass production at limitingnitrogen growth conditions Dry Weight [mg] Fresh Weight [mg] Leaf NumberGene Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. Ave. P-Val. %Incr WNU78 76661.4 — — — — — — 11.0 0.11 8 WNU78 76662.2 — — — — — —11.2 L 10 WNU74 77576.6 — — — — — — 10.8 0.19 6 WNU74 77578.4 164.6 0.2120 1112.5 0.10 18 — — — WNU74 77579.5 178.8 0.18 30 1270.8 0.08 34 11.00.02 8 WNU67 79473.3 182.5 0.26 33 1166.7 0.28 23 — — — WNU67 79473.4 —— — — — — 10.8 0.12 6 WNU32 76576.4 — — — — — — 11.4 0.02 12 WNU3276576.5 — — — 1116.7 0.02 18 — — — WNU32 76578.1 — — — — — — 11.2 0.0710 WNU32 76578.3 171.1 0.13 25 1202.4 L 27 10.8 0.19 6 WNU32 76578.5 — —— — — — 10.8 L 7 WNU32 76580.2 — — — 1125.0 0.19 19 — — — WNU32 76580.6210.0 0.22 53 1383.3 0.09 46 — — — WNU25 76624.8 252.5 0.26 84 1500.00.26 59 — — — WNU25 78806.8 — — — 1125.0 0.23 19 — — — WNU25 78808.4 — —— 1097.6 0.21 16 — — — CONT. — 137.0 — — 946.3 — — 10.2 — — WNU7576657.4 — — — 1757.1 0.09 12 — — — WNU75 76657.5 177.6 0.04 13 1764.3 L13 — — — WNU75 76658.4 — — — 1690.5 0.20 8 — — — WNU75 76659.5 — — —1735.7 0.02 11 — — — WNU54 76641.1 169.2 0.18 7 — — — — — — WNU5476643.5 166.5 0.25 6 — — — — — — WNU54 76645.5 — — — — — — 9.52 0.23 3WNU44 76636.1 — — — 1695.8 0.29 8 — — — WNU29 76628.4 167.1 0.28 61908.3 0.01 22 — — — WNU29 76628.9 — — — 1691.7 0.21 8 — — — WNU2976629.1 — — — 1712.5 0.05 9 — — — WNU29 76630.2 — — — 1720.8 0.16 10 — —— WNU18 76563.3 — — — — — — 9.62 0.12 4 WNU18 76563.5 — — — 1701.0 0.079 — — — WNU18 76564.2 170.0 0.24 8 1758.3 0.08 12 — — — WNU18 76565.6 —— — — — — 9.50 0.27 3 WNU104 76618.3 — — — 1658.3 0.22 6 — — — WNU10476619.6 163.8 0.26 4 — — — — — — WNU104 76620.5 171.0 0.19 9 1898.2 0.1321 — — — WNU104 76620.7 187.9 0.12 19 1750.0 0.20 12 — — — CONT. — 157.6— — 1564.3 — — 9.23 — — WNU87 76667.1 — — — 1583.3 0.13 7 — — — WNU8776667.3 — — — 1750.0 0.08 18 10.1 0.10 6 WNU87 76670.3 — — — 1537.5 0.264 — — — WNU73 76653.1 — — — — — — 10.0 0.29 5 WNU73 76654.1 — — — 1708.30.27 15 — — — WNU58 76761.5 — — — — — — 9.88 0.27 3 WNU58 76762.2 — — —1570.8 0.13 6 — — — WNU58 76764.2 — — — 1629.2 0.07 10 10.1 0.06 6 WNU3977171.4 — — — 1583.3 0.20 7 — — — WNU39 77171.5 — — — 1583.3 0.24 7 — —— CONT. — 133.9 — — 1481.7 — — 9.54 — — WNU99 77099.2 — — — — — — 10.10.04 5 WNU97 77181.6 — — — 143.8 0.25 20 — — — WNU83 75821.7 — — — 150.00.14 25 10.4 L 8 WNU83 75821.8 — — — — — — 9.81 0.24 3 WNU83 75823.9 — —— — — — 9.88 0.22 3 WNU61 78014.2 — — — — — — 10.1 0.19 6 WNU61 78015.10— — — 143.8 0.25 20 — — — WNU6 76542.5 — — — 156.2 0.25 31 — — — WNU576045.4 — — — 143.8 0.25 20 — — — WNU43 77267.2 — — — — — — 9.81 0.24 3WNU42 76599.4 — — — — — — 10.1 0.14 5 WNU35 75794.1 — — — — — — 9.880.14 3 WNU35 75794.3 — — — — — — 10.1 0.05 6 WNU34 76588.6 — — — — — —10.1 0.05 6 WNU31 75786.3 — — — — — — 10.2 0.09 7 WNU31 75789.5 — — —168.8 0.03 41 10.2 0.01 7 WNU11 76398.1 — — — — — — 10.1 0.14 5 WNU10577261.2 — — — — — — 10.1 0.02 6 WNU105 77262.1 — — — — — — 10.0 0.10 5WNU102 76549.8 — — — — — — 9.94 0.24 4 CONT. — — — — 119.6 — — 9.56 — —WNU28 76826.1 205.4 L 13 1804.2 0.17 10 10.0 0.23 1 WNU28 76829.3 — — —— — — 10.3 0.28 4 WNU21 75781.10 — — — — — — 10.3 0.27 4 WNU21 75781.6 —— — 1762.5 0.19 7 10.3 L 4 WNU21 75781.8 — — — — — — 10.3 0.16 4 WNU2175784.7 195.8 0.26 7 — — — — — — WNU13 78921.4 200.4 0.10 10 1879.2 0.2214 10.4 0.20 6 WNU13 78923.6 190.8 0.24 5 — — — — — — WNU13 78923.8 — —— 1766.7 0.11 7 — — — WNU13 78924.3 200.4 0.30 10 — — — 10.6 0.04 8WNU13 78925.8 — — — — — — 10.2 0.09 4 CONT. — 182.3 — — 1645.4 — — 9.86— — WNU66 77753.1 212.3 L 21 1867.9 0.15 36 — — — WNU66 77753.4 — — —1546.4 0.05 13 — — — WNU66 77754.10 — — — 1537.5 0.25 12 — — — WNU6677754.2 — — — 1500.0 0.15 9 — — — WNU66 77754.4 192.5 0.15 10 1550.00.06 13 — — — WNU60 78877.12 190.0 0.07 9 1504.2 0.10 10 — — — WNU6078877.7 — — — 1465.7 0.29 7 — — — WNU60 78877.8 194.2 0.21 11 1612.50.09 18 — — — WNU60 78877.9 — — — 1504.2 0.19 10 — — — WNU60 78878.10200.8 0.09 15 1679.2 0.04 22 — — — WNU60 78878.9 — — — 1501.8 0.15 10 —— — WNU47 77176.3 — — — 1728.6 0.07 26 — — — WNU47 77177.2 200.0 0.08 141608.3 L 17 — — — WNU47 77178.5 188.3 0.15 8 1529.2 0.17 12 — — — WNU4777178.8 185.4 0.19 6 1454.2 0.30 6 — — — WNU47 77178.9 201.2 0.03 151666.7 L 22 — — — WNU47 77180.2 — — — 1612.5 0.03 18 — — — WNU47 77180.5— — — 1474.4 0.21 8 — — — WNU33 76581.3 200.4 0.11 15 1654.2 0.06 21 — —— WNU33 76581.5 — — — 1591.7 0.25 16 — — — WNU33 76582.1 — — — 1614.90.02 18 — — — WNU33 76584.1 199.3 0.18 14 1522.6 0.07 11 — — — WNU3376584.3 — — — 1795.8 0.10 31 — — — WNU33 76584.4 188.7 0.15 8 1575.60.02 15 — — — WNU33 76585.4 193.5 0.16 11 1541.1 0.05 12 — — — WNU2777747.3 — — — 1500.0 0.13 9 — — — WNU27 77747.4 — — — 1541.7 0.22 12 — —— WNU27 77747.5 — — — 1497.6 0.27 9 — — — WNU27 77748.2 — — — — — — 10.50.16 6 WNU27 77750.1 196.0 0.10 12 1535.7 0.15 12 — — — WNU27 77750.3196.7 0.08 13 1583.3 0.15 15 — — — WNU26 76673.10 211.2 0.04 21 1712.5 L25 — — — WNU26 76673.2 197.1 0.15 13 1716.7 0.03 25 — — — WNU26 76673.4— — — 1511.9 0.29 10 — — — WNU26 76673.9 — — — 1529.2 0.12 12 — — —WNU26 76674.1 — — — 1486.9 0.14 8 — — — WNU26 76675.4 — — — 1533.3 0.0712 — — — CONT. — 174.8 — — 1371.0 — — 9.84 — — WNU92 77124.5  99.2 0.0817 823.8 0.25 15 10.5 0.12 8 WNU92 77125.3 — — — 854.2 0.17 19 — — —WNU72 77086.3 110.0 L 29 966.7 0.01 35 — — — WNU72 77088.5  96.2 0.16 13831.5 0.19 16 — — — WNU72 77090.2 100.1 0.29 18 878.6 0.08 23 — — —WNU57 76647.1 116.7 0.23 37 1014.3 0.22 42 — — — WNU57 76649.5  97.20.12 14 869.0 0.08 21 — — — WNU57 76649.6 105.5 0.13 24 919.0 0.08 28 —— — WNU57 76650.2 — — — — — — 10.1 0.21 4 WNU52 76605.3  98.0 0.09 15 —— — — — — WNU3 76633.10 — — — — — — 10.2 0.28 5 WNU3 76633.12 — — — — —— 10.0 0.21 2 WNU3 76633.13 — — — 825.0 0.16 15 — — — WNU3 76633.8 105.00.03 23 1000.0 0.08 40 — — — WNU3 76635.1 111.2 0.12 31 991.7 0.15 39 —— — WNU15 76552.7 103.0 0.18 21 946.0 0.01 32 — — — CONT. —  85.1 — —715.6 — — 9.77 — — Table 96. “CONT.”—Control; “Ave.”—Average; “% Incr.”= % increment; “p-val.”—p-value; L means that p-value is less than 0.01,p < 0.1 was considered as significant

TABLE 97 Genes showing improved plant biomass production at limitingnitrogen growth conditions Plot Coverage Rosette Area Rosette Diameter[cm²] [cm²] [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave.Val. Incr. Ave. Val. Incr. WNU78 76661.4 91.8 L 44 11.5 L 44 5.77 L 19WNU78 76662.2 82.7 L 30 10.3 L 30 5.49 L 14 WNU78 76665.5 — — — — — —5.10 0.01 6 WNU78 76665.6 73.7 0.11 16 9.21 0.11 16 — — — WNU74 77576.170.7 0.04 11 8.84 0.04 11 5.25 0.02 9 WNU74 77576.2 67.0 0.21 5 8.380.21 5 5.02 0.04 4 WNU74 77576.6 74.3 0.01 16 9.29 0.01 16 5.29 L 9WNU74 77576.8 — — — — — — 5.08 0.15 5 WNU74 77579.5 70.9 0.22 11 8.870.22 11 5.16 0.20 7 WNU71 77656.1 70.6 0.18 11 8.82 0.18 11 5.24 0.04 8WNU67 79413.2 — — — — — — 5.18 0.21 7 WNU67 79413.5 — — — — — — 5.010.16 4 WNU67 79472.2 — — — — — — 4.95 0.25 2 WNU67 79473.4 79.9 L 259.99 L 25 5.39 L 11 WNU32 76576.2 72.4 0.26 13 9.05 0.26 13 5.10 0.27 5WNU32 76576.4 93.1 L 46 11.6 L 46 5.76 L 19 WNU32 76576.5 71.4 L 12 8.92L 12 5.22 0.05 8 WNU32 76578.1 85.1 L 33 10.6 L 33 5.59 L 16 WNU3276578.3 74.0 0.17 16 9.25 0.17 16 5.09 0.17 5 WNU32 76578.5 76.6 L 209.58 L 20 5.33 L 10 WNU32 76580.2 70.8 0.01 11 8.85 0.01 11 5.17 0.03 7WNU32 76580.6 76.5 L 20 9.56 L 20 5.18 L 7 CONT. — 63.8 — — 7.97 — —4.83 — — WNU75 76657.6 40.6 0.19 10 5.07 0.23 9 3.98 0.14 6 WNU7576658.3 40.9 0.16 11 5.11 0.19 10 4.00 0.13 7 WNU54 76645.5 — — — 5.180.30 11 4.06 0.18 8 WNU18 76565.5 46.3 0.10 25 5.78 0.11 24 4.24 0.12 13CONT. — 37.0 — — 4.66 — — 3.75 — — WNU87 76667.1 61.5 0.17 7 7.69 0.17 74.88 0.02 7 WNU87 76667.3 67.3 0.23 17 8.41 0.23 17 4.86 0.28 6 WNU8776670.3 61.9 0.16 7 7.74 0.16 7 4.78 0.10 4 WNU39 77171.5 63.1 0.09 97.88 0.09 9 4.78 0.28 4 WNU2 77867.3 65.4 0.20 13 8.18 0.20 13 — — —WNU2 77869.1 — — — — — — 4.87 0.23 6 WNU2 77869.3 61.6 0.20 7 7.70 0.207 4.77 0.11 4 CONT. — 57.7 — — 7.22 — — 4.58 — — WNU99 77097.4 36.9 0.0610 4.62 0.06 10 4.05 0.05 6 WNU99 77098.4 — — — — — — 4.05 0.07 6 WNU9977099.4 38.4 0.28 14 4.80 0.28 14 — — — WNU98 77463.13 — — — — — — 4.150.01 9 WNU98 77465.1 38.1 0.02 13 4.76 0.02 13 4.09 0.03 7 WNU98 77465.337.5 0.06 12 4.69 0.06 12 4.30 L 12 WNU97 77181.6 40.7 L 21 5.09 L 214.28 0.08 12 WNU94 78108.5 — — — — — — 3.95 0.21 3 WNU91 76211.3 — — — —— — 3.94 0.25 3 WNU83 75821.7 44.7 L 33 5.58 L 33 4.50 L 18 WNU8375821.8 37.4 0.06 11 4.67 0.06 11 4.08 0.04 7 WNU83 75823.9 — — — — — —4.00 0.11 5 WNU61 78014.1 37.7 0.20 12 4.71 0.20 12 4.17 0.01 9 WNU6178014.2 38.5 0.03 14 4.81 0.03 14 4.12 0.14 8 WNU6 76542.5 38.9 0.01 164.86 0.01 16 4.15 0.04 9 WNU6 76544.8 36.3 0.28 8 4.54 0.28 8 4.00 0.115 WNU55 77631.1 — — — — — — 4.02 0.24 5 WNU51 79018.4 — — — — — — 4.040.07 6 WNU51 79020.6 — — — — — — 3.99 0.21 4 WNU5 76045.4 36.4 0.24 84.55 0.24 8 — — — WNU46 77024.6 36.2 0.17 8 4.52 0.17 8 3.98 0.21 4WNU43 77267.2 36.0 0.19 7 4.50 0.19 7 — — — WNU42 76598.1 37.6 0.06 124.70 0.06 12 4.05 0.08 6 WNU42 76599.4 41.4 L 23 5.17 L 23 4.23 L 11WNU41 79012.4 39.2 L 16 4.90 L 16 4.25 0.05 11 WNU35 75792.2 — — — — — —3.95 0.24 3 WNU35 75794.1 35.8 0.19 7 4.48 0.19 7 3.97 0.20 4 WNU3575794.3 44.5 0.27 32 5.56 0.27 32 4.53 0.23 19 WNU34 76588.3 38.3 0.0214 4.78 0.02 14 4.06 0.04 6 WNU34 76588.6 — — — — — — 4.20 0.26 10 WNU3476588.8 36.7 0.21 9 4.58 0.21 9 — — — WNU31 75786.3 40.4 L 20 5.05 L 204.36 L 14 WNU31 75786.7 39.9 0.02 19 4.99 0.02 19 4.20 0.08 10 WNU3175789.5 46.6 L 39 5.83 L 39 4.65 L 22 WNU31 75790.8 38.3 0.21 14 4.790.21 14 — — — WNU17 76556.4 38.7 0.02 15 4.84 0.02 15 4.13 0.02 8 WNU1477113.4 — — — — — — 3.98 0.14 4 WNU11 76398.1 42.5 0.01 26 5.31 0.01 264.36 L 14 WNU11 76400.2 37.8 0.03 13 4.73 0.03 13 4.20 0.15 10 WNU10577261.2 41.5 L 23 5.18 L 23 4.25 L 11 WNU105 77262.1 36.2 0.17 8 4.530.17 8 3.99 0.26 4 WNU102 76550.4 37.5 0.04 11 4.68 0.04 11 4.25 0.01 11CONT. — 33.6 — — 4.20 — — 3.82 — — WNU28 76826.1 60.5 0.05 17 7.56 0.0517 4.49 0.09 5 WNU28 76827.3 56.4 0.18 9 7.05 0.18 9 4.45 0.19 4 WNU2876827.4 60.3 0.25 16 7.53 0.25 16 — — — WNU28 76829.3 61.7 0.04 19 7.710.04 19 4.62 0.17 8 WNU21 75781.6 61.0 L 18 7.63 L 18 4.60 L 8 WNU2175781.8 63.0 0.03 21 7.87 0.03 21 4.69 0.07 10 WNU21 75784.1 64.1 0.2123 8.01 0.21 23 4.83 0.20 13 WNU21 75784.4 58.8 0.16 13 7.35 0.16 134.47 0.28 5 WNU21 75784.7 58.9 0.02 13 7.36 0.02 13 4.47 0.11 5 WNU1378921.3 61.3 0.15 18 7.67 0.15 18 4.56 0.23 7 WNU13 78921.4 63.8 L 237.98 L 23 4.61 0.06 8 WNU13 78923.6 64.9 0.07 25 8.11 0.07 25 4.79 0.0513 WNU13 78924.2 55.6 0.17 7 6.95 0.17 7 4.39 0.30 3 WNU13 78924.3 66.50.19 28 8.31 0.19 28 4.75 0.24 12 WNU13 78925.3 60.8 0.04 17 7.60 0.0417 4.57 0.12 7 WNU13 78925.8 62.5 0.11 20 7.81 0.11 20 4.65 0.17 9 CONT.— 51.9 — — 6.49 — — 4.26 — — WNU66 77754.4 60.7 0.21 6 7.59 0.21 6 4.880.14 3 WNU27 77748.1 65.1 0.11 14 8.14 0.11 14 5.00 0.17 5 WNU27 77748.265.3 0.17 14 8.16 0.17 14 4.97 0.08 5 WNU27 77750.1 — — — — — — 5.040.21 6 CONT. — 57.1 — — 7.14 — — 4.74 — — WNU92 77124.5 70.5 0.26 128.82 0.29 11 — — — WNU92 77125.3 70.2 0.23 11 8.77 0.27 10 — — — WNU7277086.3 69.4 0.15 10 8.68 0.18 9 — — — WNU72 77088.1 76.5 0.16 21 9.570.17 20 4.97 0.20 11 WNU57 76647.1 71.5 0.27 13 9.33 0.14 17 4.92 0.1510 WNU57 76649.5 70.9 0.13 12 8.86 0.15 11 4.80 0.05 7 WNU57 76649.772.6 0.09 15 9.08 0.10 14 4.84 0.14 8 WNU57 76650.2 67.4 0.27 7 — — — —— — CONT. — 63.1 — — 7.96 — — 4.48 — — Table 97: “CONT.”—Control;“Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means thatp-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Table 98 improved plant NUE when grown at limitingnitrogen concentration levels. These genes produced faster developingplants when grown under limiting nitrogen growth conditions, compared tocontrol plants, grown under identical conditions as measured by growthrate of leaf number, rosette diameter and plot coverage.

TABLE 98 Genes showing improved rosette growth performance at limitingnitrogen growth conditions RGR Of Plot RGR Of Rosette RGR Of LeafCoverage Diameter Number [cm²/day] [cm/day] Gene P- % P- % P- % NameEvent # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU78 76661.4 —— — 15.4 L 36 0.591 L 20 WNU78 76662.2 — — — 13.9 L 23 0.534 0.14 9WNU78 76665.5 — — — — — — 0.538 0.12 9 WNU78 76665.6 — — — 13.1 0.04 160.532 0.21 8 WNU74 77576.1 — — — 12.6 0.12 11 0.549 0.06 11 WNU7477576.6 — — — 13.2 0.02 17 0.559 0.02 14 WNU74 77576.8 — — — — — — 0.5360.16 9 WNU74 77578.4 — — — 12.4 0.22 9 — — — WNU74 77579.5 — — — 13.00.05 16 0.529 0.23 7 WNU71 77656.1 — — — 13.0 0.05 15 0.550 0.05 12WNU67 79413.2 — — — 12.8 0.09 13 0.551 0.06 12 WNU67 79413.5 — — — — — —0.529 0.21 7 WNU67 79473.4 — — — 14.0 L 24 0.565 0.01 15 WNU32 76576.2 —— — 12.5 0.15 11 — — — WNU32 76576.4 0.801 0.28 11 15.8 L 40 0.563 0.0114 WNU32 76576.5 — — — 12.5 0.15 11 0.526 0.25 7 WNU32 76577.1 0.8200.20 14 — — — — — — WNU32 76578.1 0.812 0.23 13 14.6 L 30 0.559 0.02 14WNU32 76578.3 — — — 13.0 0.06 16 0.542 0.10 10 WNU32 76578.5 — — — 13.00.05 15 0.534 0.15 8 WNU32 76580.2 — — — 12.8 0.07 14 0.556 0.04 13WNU32 76580.6 — — — 13.6 L 20 0.545 0.07 11 WNU25 78806.7 — — — 12.70.13 12 — — — WNU25 78806.8 — — — 12.5 0.17 11 0.543 0.10 10 CONT. —0.721 — — 11.3 — — 0.492 — — WNU75 76658.3 — — — 14.2 0.21 15 — — —WNU54 76643.5 0.891 0.21 14 — — — — — — WNU54 76645.5 0.886 0.23 13 14.30.18 16 — — — WNU18 76565.5 — — — 14.6 0.12 19 — — — CONT. — 0.781 — —12.3 — — — — — WNU87 76667.3 — — — 12.5 0.05 18 — — — WNU73 76651.5 — —— 11.7 0.24 11 — — — WNU39 77171.5 — — — 11.6 0.22 11 — — — WNU2 77867.3— — — 12.1 0.10 15 — — — WNU2 77869.1 — — — 11.5 0.29 9 — — — WNU277869.3 — — — 11.5 0.27 9 — — — CONT. — — — — 10.5 — — — — — WNU9977099.2 0.631 0.14 16 — — — — — — WNU98 77463.13 — — — — — — 0.383 0.0512 WNU98 77465.1 — — — 5.93 0.20 14 — — — WNU98 77465.3 — — — — — —0.376 0.10 11 WNU97 77181.6 — — — 6.20 0.08 20 — — — WNU94 78110.7 0.6350.12 17 — — — — — — WNU83 75821.7 — — — 6.65 0.01 28 0.382 0.05 12 WNU8375821.8 — — — — — — 0.365 0.24 7 WNU83 75823.9 — — — — — — 0.370 0.17 9WNU61 78014.1 — — — 5.95 0.19 15 0.383 0.04 13 WNU61 78014.2 0.625 0.1715 5.94 0.19 15 — — — WNU6 76542.5 — — — 5.85 0.24 13 0.373 0.13 9 WNU5179018.4 — — — 5.84 0.27 13 0.366 0.25 7 WNU51 79020.6 0.623 0.17 14 — —— — — — WNU5 76045.6 0.604 0.29 11 — — — — — — WNU43 77267.2 — — — — — —0.369 0.18 8 WNU42 76598.1 — — — 5.78 0.30 12 — — — WNU42 76599.4 — — —6.31 0.06 22 — — — WNU41 79012.4 — — — 6.13 0.10 18 0.375 0.11 10 WNU4179013.1 0.617 0.21 13 — — — — — — WNU35 75794.1 0.610 0 26 12 — — — — —— WNU35 75794.3 — — — 6.82 0.01 32 0.397 0.03 17 WNU34 76588.3 — — —5.79 0.28 12 — — — WNU34 76588.6 — — — — — — 0.370 0.19 9 WNU31 75786.3— — — 5.96 0.17 15 0.383 0.05 13 WNU31 75786.7 — — — 5.91 0.20 14 — — —WNU31 75789.5 0.614 0.26 13 7.42 1. 43 0.409 L 20 WNU31 75790.8 — — —6.03 0.15 16 0.391 0.02 15 WNU17 76556.4 0.609 0.30 12 5.95 0.18 15 — —— WNU14 77113.11 0.643 0.10 18 — — — — — — WNU11 76398.1 — — — 6.73 0.0130 0.389 0.03 14 WNU11 76400.2 — — — 5.84 025 13 0.381 0.07 12 WNU10577261.2 — — — 6.22 0.07 20 0.373 0.13 9 WNU105 77262.1 0.631 0.16 16 — —— — — — WNU102 76550.4 — — — — — — 0.369 0.18 8 CONT. — 0344 — — 5.18 —— 0.341 — — WNU28 76826.1 — — — 10.4 0.04 17 — — — WNU28 76827.3 — — —9.62 0.30 8 — — — WNU28 76827.4 — — — 10.1 0.12 13 — — — WNU28 76829.3 —— — 10.7 0.01 21 0.450 0.08 14 WNU28 76829.5 0.785 0.13 15 — — — — — —WNU21 75781.10 — — — 10.1 0.11 14 0.428 0.30 8 WNU21 75781.11 0.781 0.1314 — — — — — — WNU21 75781.6 — — — 10.5 0.02 18 — — — WNU21 75781.8 — —— 11.0 L 24 0.441 0.12 11 WNU21 75781.9 — — — — — — 0.439 0.16 11 WNU2175783.1 — — — 9.96 0.15 12 — — — WNU21 75784.1 — — — 11.2 L 27 0.4680.04 18 WNU21 75784.4 — — — 10.2 0.07 15 0.427 0.30 8 WNU21 75784.7 — —— 10.0 0.10 13 — — — WNU13 78921.3 0.764 0.27 12 10.5 0.03 18 — — —WNU13 78921.4 — — — 10.9 L 22 0.433 0.20 9 WNU13 78923.6 — — — 11.2 L 260.441 0.13 11 WNU13 78923.8 — — — — — — 0.439 0.18 11 WNU13 78924.2 — —— 9.75 0.23 10 — — — WNU13 78924.3 — — — 11.5 L 29 0.447 0.15 13 WNU1378925.3 0.762 0.23 12 10.5 0.03 18 0.428 0.26 8 WNU13 78925.8 0.771 0.2013 10.5 0.03 18 — — — CONT. — 0.683 — — 8.88 — — 0.396 — — WNU60 78878.40.820 0.11 17 — — — — — — WNU47 77178.2 — — — — — — 0.514 0.25 8 WNU4777180.4 0.837 0.07 19 — — — — — — WNU33 76581.3 0.821 0.11 17 — — — — —— WNU33 76581.6 0.813 0.15 16 — — — — — — WNU27 77747.4 0.801 0.22 14 —— — — — — WNU27 77748.1 0.784 0.28 12 11.8 0.07 15 0.513 0.24 8 WNU2777748.2 — — — 11.6 0.10 14 — — — WNU27 77750.1 — — — 11.6 0.13 13 — — —WNU26 76673.10 0.789 0.25 12 — — — — — — WNU26 76673.5 0.886 0.02 26 — —— — — — WNU26 76674.1 0.813 0.14 16 — — — — — — CONT. — 0.702 — — 10.2 —— 0.477 — — WNU92 77124.5 — — — 10.6 0.30 12 — — — WNU72 77086.3 — — —10.8 0.23 14 — — — WNU72 77088.1 — — — 11.4 0.08 20 0.461 0.26 10 WNU5776647.1 0.826 0.10 14 11.2 0.11 19 0.484 0.09 16 WNU57 76649.5 — — —10.6 0.28 12 — — — WNU57 76649.7 — — — 11.0 0.15 17 0.470 0.16 12 CONT.— 0.725 — — 9.47 — — 0.419 — — Table 98. “CONT.”—Control;“Ave.”—Average; “% Incr.” = % increment; “p-val.“—p-value; L means thatp-value is less than 0.01, p < 0.1 was considered as significant.

The genes listed in Tables 99-100 improved plant NUE when grown atstandard nitrogen concentration levels. These genes produced largerplants with a larger photosynthetic area and increased biomass (freshweight, dry weight, leaf number, rosette diameter, rosette area and plotcoverage) when grown under standard nitrogen conditions as compared tocontrol plants grown under identical growth conditions.

TABLE 99 Genes showing improved plant biomass production at standardnitrogen growth conditions Dry Weight [mg] Fresh Weight [mg] Leaf NumberGene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave.Val. Incr. WNU75 76657.1 — — — 2170.8 0.18 10 9.67 L 8 WNU75 76657.5 — —— — — — 9.29 0.21 3 WNU75 76658.3 183.8 0.15 10 2154.2 0.25 9 9.38 0.074 WNU75 76659.6 178.3 0.21 6 2129.2 0.04 7 9.46 0.01 5 WNU54 76641.5187.1 0.02 12 2216.7 L 12 9.29 0.28 3 WNU54 76643.2 175.0 0.11 4 — — — —— — WNU54 76644.1 — — — — — — 9.33 0.25 4 WNU54 76645.3 — — — 2175.00.14 10 — — — WNU54 76645.5 — — — — — — 9.46 L 5 WNU54 76645.7 173.30.23 3 2125.0 0.07 7 — — — WNU44 76636.1 — — — — — — 9.46 0.01 5 WNU4476636.3 — — — — — — 9.58 L 7 WNU44 76639.1 183.3 0.01 9 2141.7 0.05 89.54 0.16 6 WNU44 76639.2 — — — — — — 9.46 0.01 5 WNU44 76639.3 175.50.24 5 2110.5 0.25 7 — — — WNU44 76640.3 — — — — — — 9.38 0.06 4 WNU4476640.9 176.7 0.24 5 — — — — — — WNU29 76628.1 183.8 0.09 10 2191.7 0.1511 9.75 L 9 WNU29 76628.4 173.3 0.18 3 2084.5 0.26 5 9.25 0.23 3 WNU2976628.7 — — — 2162.5 0.21 9 9.33 0.06 4 WNU29 76628.9 — — — — — — 9.330.17 4 WNU29 76629.1 — — — — — — 9.62 0.07 7 WNU29 76630.2 — — — — — —9.38 0.27 4 WNU18 76562.2 176.2 0.23 5 2150.0 0.10 9 — — — WNU18 76563.3177.5 0.10 6 2083.3 0.12 5 9.54 0.22 6 WNU18 76564.2 191.8 L 14 2286.3 L15 9.17 0.24 2 WNU18 76565.5 194.2 L 16 2345.8 0.02 18 9.50 0.20 6WNU104 76617.1 181.0 0.25 8 2211.9 0.04 12 9.54 0.11 6 WNU104 76618.3184.6 0.13 10 2212.5 L 12 9.17 0.29 2 WNU104 76619.3 — — — — — — 9.58 L7 WNU104 76619.6 — — — — — — 9.33 0.14 4 WNU104 76620.2 — — — — — — 9.620.02 7 WNU104 76620.4 — — — — — — 9.40 0.05 5 WNU104 76620.5 — — — — — —9.33 0.14 4 WNU104 76620.7 — — — — — — 9.46 0.16 5 CONT. — 167.7 — —1980.9 — — 8.98 — — WNU28 76830.1 — — — — — — 10.5 0.30 2 WNU21 75784.6— — — — — — 10.9 0.05 6 CONT. — — — — — — — 10.2 — — WNU92 77124.5 — — —1525.6 0.14 9 10.1 0.26 3 WNU92 77124.7 129.9 0.23 9 — — — — — — WNU9277125.3 — — — 1505.9 0.30 8 — — — WNU72 77086.3 131.2 0.13 11 1558.30.02 11 10.2 0.08 4 WNU72 77088.2 130.3 0.25 10 1581.0 0.19 13 — — —WNU72 77090.1 136.4 0.27 15 1478.6 0.14 6 — — — WNU57 76647.1 137.1 0.2715 — — — — — — WNU57 76650.2 132.4 0.08 12 1531.5 0.10 10 — — — WNU376633.13 — — — — — — 10.0 0.28 2 WNU15 76551.5 128.4 0.27 8 — — — — — —WNU15 76552.7 128.5 0.11 8 1493.1 0.09 7 — — — CONT. — 118.7 — — 1398.2— — 9.83 — — WNU78 76662.2 — — — — — — 11.5 0.02 8 WNU78 76665.6 316.30.03 20 3141.7 L 24 — — — WNU74 77578.1 — — — 2687.5 0.12 6 — — — WNU3276576.4 — — — — — — 12.1 L 13 WNU32 76576.5 — — — 2883.3 0.14 14 — — —WNU32 76578.1 — — — 2662.5 0.15 5 — — — WNU32 76578.3 290.0 0.30 102904.2 0.07 14 — — — WNU32 76580.2 285.0 0.01 8 2879.2 L 13 — — — WNU3276580.6 279.2 0.11 6 2966.7 0.03 17 — — — WNU25 78808.4 277.6 0.13 52872.0 0.02 13 — — — CONT. — 263.3 — — 2539.2 — — 10.7 — — WNU87 76667.3— — — — — — 10.2 0.25 7 WNU73 76651.7 — — — — — — 9.88 0.03 4 WNU5876761.5 — — — — — — 9.92 0.22 4 WNU58 76764.2 164.6 0.24 11 — — — — — —CONT. — 148.7 — — 1832.8 — — 9.54 — — WNU66 77753.1 317.4 0.07 13 3801.20.09 18 — — — WNU66 77753.4 — — — 3720.2 0.25 16 — — — WNU66 77754.4 — —— — — — 10.6 0.04 7 WNU60 78877.12 — — — — — — 10.2 0.29 2 WNU60 78877.6314.2 0.11 12 3532.1 0.04 10 — — — WNU60 78877.9 — — — 3525.6 0.22 10 —— — WNU60 78878.10 — — — — — — 10.7 0.20 7 WNU60 78878.12 — — — 3739.90.15 16 — — — WNU47 77178.9 — — — — — — 10.1 0.28 2 WNU47 77180.5 — — —3380.2 0.26 5 — — — WNU33 76581.3 — — — — — — 10.4 0.24 4 WNU33 76581.5303.8 0.27 8 — — — 10.4 0.06 4 WNU33 76581.6 — — — — — — 10.4 0.08 4WNU33 76582.1 295.0 0.22 5 3525.0 0.04 10 — — — WNU33 76584.1 — — — — —— 10.9 0.01 9 WNU33 76584.2 — — — 3399.4 0.27 6 — — — WNU33 76584.3326.6 0.14 17 — — — 10.2 0.17 3 WNU27 77747.5 — — — — — — 10.8 0.02 8WNU27 77748.1 — — — — — — 10.7 0.28 7 WNU27 77750.1 — — — — — — 10.90.15 10 WNU26 76672.1 — — — 3398.2 0.25 6 — — — WNU26 76673.2 297.4 0.126 3845.8 0.10 20 — — — WNU26 76673.4 343.6 0.03 23 3569.6 0.02 11 — — —WNU26 76673.9 — — — 3573.8 0.20 11 — — — CONT. — 280.3 — — 3213.9 — —9.96 — — Table 99. “CONT.”—Control; “Ave.”—Average; “% Incr.”= %increment; “p-val.”—p-value; L means that p-value is less than 0.01, p <0.1 was considered as significant.

TABLE 100 Genes showing improved plant biomass production at standardnitrogen growth conditions Plot Coverage Rosette Area Rosette Diameter[cm²] [cm²] [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave.Val. Incr. Ave. Val. Incr. WNU75 76657.1 41.8 0.05 31 5.22 0.06 30 3.990.12 14 WNU75 76658.3 43.6 0.04 37 5.46 0.04 36 4.09 0.03 17 WNU7576659.6 41.6 L 31 5.19 L 30 4.10 L 17 WNU54 76641.5 39.1 0.01 23 4.890.02 22 3.96 L 13 WNU54 76643.2 39.8 L 25 4.97 L 24 3.99 L 14 WNU5476644.1 34.9 0.27 10 — — — — — — WNU54 76644.4 42.1 L 32 5.26 L 31 4.08L 16 WNU54 76645.3 37.8 L 19 4.72 L 18 3.80 0.02 9 WNU54 76645.7 36.10.21 14 4.52 0.24 13 — — — WNU44 76636.1 40.9 0.10 29 5.11 0.11 28 4.080.11 16 WNU44 76636.3 38.7 L 22 4.84 0.01 21 3.96 0.05 13 WNU44 76639.142.8 L 35 5.35 L 33 4.01 L 14 WNU44 76639.2 — — — — — — 3.68 0.22 5WNU44 76639.4 36.7 0.16 16 4.59 0.18 15 3.78 0.08 8 WNU44 76640.9 36.00.25 13 4.50 0.27 12 — — — WNU29 76628.1 40.7 L 28 5.08 L 27 4.09 L 17WNU29 76628.4 34.1 0.30 7 — — — — — — WNU29 76628.7 36.7 0.22 16 4.590.24 15 — — — WNU29 76628.9 39.0 0.01 23 4.87 0.01 22 3.97 0.09 13 WNU2976629.3 41.2 L 30 5.15 0.01 29 4.05 0.03 16 WNU18 76561.2 36.1 0.05 144.51 0.07 13 — — — WNU18 76562.2 40.0 L 26 5.00 L 25 4.14 L 18 WNU1876564.2 40.3 0.02 27 5.04 0.02 26 4.01 0.12 14 WNU18 76565.5 45.8 L 445.73 L 43 4.29 L 22 WNU104 76617.1 41.4 L 30 5.18 L 29 4.05 0.02 16WNU104 76618.3 39.3 L 24 4.91 L 23 3.92 0.01 12 WNU104 76619.6 33.9 0.297 — — — — — — WNU104 76620.2 35.1 0.24 10 4.39 0.28 9 — — — WNU10476620.4 — — — 4.25 0.28 6 — — — CONT. — 31.8 — — 4.01 — — 3.50 — — WNU2876826.1 67.4 0.15 13 8.42 0.15 13 4.90 0.18 7 WNU21 75781.10 69.4 0.2716 8.67 0.27 16 — — — WNU21 75781.8 67.6 0.03 13 8.45 0.03 13 4.86 0.096 WNU21 75784.1 70.6 0.06 18 8.82 0.06 18 4.94 0.05 7 WNU21 75784.4 68.10.30 14 8.52 0.30 14 — — — WNU13 78921.4 69.1 0.03 16 8.64 0.03 16 4.960.11 8 WNU13 78923.6 69.0 0.29 16 8.63 0.29 16 5.01 0.18 9 WNU13 78924.370.6 0.06 18 8.82 0.06 18 4.90 0.26 6 WNU13 78925.3 68.7 0.07 15 8.580.07 15 4.92 L 7 CONT. — 59.6 — — 7.45 — — 4.60 — — WNU92 77124.5 78.20.25 23 — — — — — — WNU72 77086.3 74.2 L 16 9.27 0.03 10 4.98 0.01 7WNU72 77088.2 78.2 0.12 23 9.78 0.21 16 — — — WNU72 77090.1 69.0 0.29 8— — — — — — WNU57 76647.1 77.2 0.12 21 9.65 0.22 14 — — — WNU57 76650.275.8 0.02 19 9.47 0.08 12 — — — WNU52 76605.3 72.0 0.30 13 — — — — — —CONT. — 63.8 — — 8.44 — — 4.67 — — WNU78 76661.4 86.1 0.05 19 10.8 0.0519 5.64 0.02 8 WNU78 76662.2 89.1 0.17 24 11.1 0.17 24 5.74 0.21 10WNU78 76665.6 84.5 0.07 17 10.6 0.07 17 5.68 0.09 8 WNU71 77656.1 82.30.03 14 10.3 0.03 14 5.63 0.04 7 WNU67 79472.2 82.7 0.11 15 10.3 0.11 155.62 0.10 7 WNU67 79473.4 — — — 10.6 0.20 17 5.76 0.04 10 WNU32 76576.497.3 0.05 35 12.2 0.05 35 5.89 0.01 12 WNU32 76578.1 93.3 0.13 29 11.70.13 29 5.96 0.07 14 WNU32 76578.3 — — — — — — 5.65 0.28 8 WNU32 76580.688.5 L 23 11.1 L 23 5.81 L 11 CONT. — 72.0 — — 9.00 — — 5.24 — — WNU8776667.3 62.3 0.15 13 7.79 0.20 11 — — — WNU73 76651.7 64.3 L 17 8.03 L14 4.92 L 9 WNU73 76653.1 59.9 0.27 9 — — — — — — CONT. — 54.9 — — 7.02— — 4.52 — — WNU33 76581.3 67.9 0.17 6 8.49 0.17 6 — — — WNU33 76584.269.5 0.04 9 8.69 0.04 9 5.18 0.20 3 WNU33 76584.3 69.0 0.12 8 8.62 0.128 5.17 0.20 3 WNU27 77747.5 71.8 0.22 12 8.97 0.22 12 5.30 0.29 5 WNU2777748.1 75.4 0.15 18 9.43 0.15 18 5.40 L 7 WNU27 77748.2 77.9 0.03 229.73 0.03 22 5.55 L 10 WNU27 77750.1 76.9 0.01 20 9.61 0.01 20 5.48 0.019 WNU26 76673.5 — — — — — — 5.31 0.17 6 CONT. — 63.9 — — 7.98 — — 5.03 —— Table 100: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

The genes listed in Table 101 improved plant NUE when grown at standardnitrogen concentration levels. These genes produced faster developingplants when grown under normal (standard) nitrogen growth conditions,compared to control plants, grown under identical growth conditions, asmeasured by growth rate of leaf number, rosette diameter and plotcoverage.

TABLE 101 Genes showing improved rosette growth performance at standardnitrogen growth conditions RGR Of Plot RGR Of Rosette RGR Of LeafCoverage Diameter Number [cm²/day] [cm/day] Gene P- % P- % P- % NameEvent # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. WNU75 76657.1 —— — 13.9 0.07 23 — — — WNU75 76658.3 — — — 14.7 0.02 30 — — — WNU7576659.6 0.836 0.26 14 14.5 0.03 28 0.566 0.21 12 WNU54 76641.5 — — —13.5 0.13 19 0.558 0.29 10 WNU54 76643.2 — — — 13.3 0.17 17 — — — WNU5476644.1 0.838 0.24 14 — — — — — — WNU54 76644.4 0.841 0.23 15 13.6 0.1120 — — — WNU54 76645.3 — — — 12.9 0.27 14 — — — WNU44 76636.1 — — — 13.40.14 19 — — — WNU44 76636.3 — — — 13.4 0.14 18 0.558 0.28 10 WNU4476639.1 — — — 14.3 0.04 26 — — — WNU44 76640.9 — — — 13.1 0.23 15 — — —WNU29 76628.1 — — — 13.4 0.15 18 0.568 0.20 12 WNU29 76628.9 0.837 0.2414 13.0 0.23 15 — — — WNU29 76629.3 — — — 13.7 0.09 21 — — — WNU1876562.2 — — — 15.1 0.01 33 0.579 0.13 14 WNU18 76564.2 — — — 13.9 0.0822 — — — WNU18 76565.5 — — — 14.3 0.04 26 0.565 0.24 11 WNU104 76617.1 —— — 13.5 0.13 19 — — — WNU104 76618.3 — — — 13.7 0.10 21 — — — WNU10476619.3 0.863 0.15 18 — — — — — — CONT. — 0.732 — — 11.3 — — 0.507 — —WNU45 79666.1 0.782 0.10 19 — — — — — — WNU45 79667.7 0.737 0.27 12 — —— — — — WNU28 76826.1 — — — 11.8 0.14 15 0.522 0.04 18 WNU21 75781.10 —— — 12.2 0.08 19 0.519 0.07 17 WNU21 75781.8 — — — 11.8 0.14 15 — — —WNU21 75781.9 — — — 11.6 0.22 13 — — — WNU21 75784.1 — — — 12.0 0.10 17— — — WNU21 75784.4 — — — 11.7 0.18 14 — — — WNU21 75784.6 — — — 11.40.29 11 — — — WNU13 78921.4 — — — 12.3 0.05 20 0.524 0.04 18 WNU1378923.6 — — — 12.1 0.11 18 — — — WNU13 78924.3 — — — 11.7 0.17 14 — — —WNU13 78925.3 0.769 0.15 17 12.2 0.06 19 0.511 0.07 15 CONT. — 0.656 — —10.3 — — 0.444 — — WNU92 77124.5 — — — 12.2 0.08 19 0.511 0.25 9 WNU7277086.3 — — — 11.5 0.26 11 — — — WNU72 77088.2 — — — 12.2 0.07 19 0.5200.15 11 WNU57 76647.1 — — — 12.2 0.08 18 — — — WNU57 76650.2 0.846 0.1212 11.8 0.15 14 — — — CONT. — 0.752 — — 10.3 — — 0.470 — — WNU78 76661.4— — — 14.4 0.18 13 — — — WNU78 76662.2 — — — 14.8 0.11 16 — — — WNU7876665.6 — — — 15.1 0.06 19 0.607 0.28 9 WNU74 77576.2 0.812 0.26 14 — —— — — — WNU74 77578.4 — — — 15.4 0.05 21 0.609 0.30 9 WNU71 77656.1 — —— 14.2 0.22 12 — — — WNU67 79413.2 — — — 14.2 0.27 11 0.640 0.09 15WNU67 79413.5 — — — 14.2 0.29 11 — — — WNU67 79472.2 — — — 14.7 0.12 150.609 0.25 9 WNU67 79473.4 — — — 14.2 0.27 11 0.611 0.24 9 WNU32 76576.4— — — 16.2 L 27 — — — WNU32 76578.1 — — — 16.2 L 27 0.629 0.13 13 WNU3276578.3 — — — 14.5 0.18 14 — — — WNU32 76580.6 — — — 15.7 0.02 23 0.6110.24 9 CONT. — 0.714 — — 12.8 — — 0.559 — — WNU87 76667.1 0.787 0.08 21— — — — — — WNU87 76667.3 — — — 11.6 0.05 14 — — — WNU87 76670.4 0.7890.07 21 — — — — — — WNU73 76651.7 0.822 0.03 26 12.1 L 19 0.506 0.08 11WNU73 76653.1 — — — 11.1 0.21 9 — — — WNU58 76761.1 0.795 0.05 22 — — —— — — WNU58 76761.5 0.760 0.16 16 — — — — — — WNU58 76764.3 0.743 0.2514 — — — — — — WNU58 76765.4 0.764 0.15 17 11.1 0.20 10 — — — WNU3977171.2 0.757 0.21 16 11.4 0.11 12 — — — WNU39 77171.4 0.748 0.21 15 — —— 0.491 0.22 8 WNU39 77173.2 0.757 0.18 16 — — — — — — WNU2 77867.50.730 0.30 12 — — — — — — WNU2 77868.4 0.734 0.26 12 — — — — — — WNU277869.3 0.764 0.18 17 — — — — — — CONT. — 0.653 — — 10.2 — — 0.454 — —WNU66 77754.3 0.917 0.22 14 — — — — — — WNU66 77754.4 0.925 0.19 15 — —— — — — WNU60 78878.10 1.00 0.04 25 — — — — — — WNU33 76584.1 0.924 0.1915 — — — — — — WNU33 76584.2 — — — 13.1 0.27 9 — — — WNU27 77747.5 — — —13.1 0.26 9 — — — WNU27 77748.1 — — — 13.8 0.06 15 0.580 0.21 8 WNU2777748.2 — — — 14.2 0.03 18 0.590 0.13 10 WNU27 77750.1 — — — 14.0 0.0417 0.573 0.29 7 WNU26 76675.3 0.911 0.23 13 — — — — — — WNU26 76675.40.909 0.27 13 — — — — — — CONT. — 0.803 — — 12.0 — — 0.534 — — Table101. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 wasconsidered as significant.

Example 21 Evaluation of Transgenic Brachypodium Nue and Yield Under Lowor Normal Nitrogen Fertilization in Greenhouse Assay

Assay 1: Nitrogen Use Efficiency Measured Plant Biomass and Yield atLimited and Optimal Nitrogen Concentration Under Greenhouse ConditionsUntil Heading—

This assay follows the plant biomass formation and growth (measured byheight) of plants which are grown in the greenhouse at limiting andnon-limiting (e.g., normal) nitrogen growth conditions. TransgenicBrachypodium seeds were sown in peat plugs. The T₁ transgenic seedlingswere then transplanted to 27.8×11.8×8.5 cm trays filled with peat andperlite in a 1:1 ratio. The trays were irrigated with a solutioncontaining nitrogen limiting conditions, which were achieved byirrigating the plants with a solution containing 3 mM inorganic nitrogenin the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mMKCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels wereachieved by applying a solution of 6 mM inorganic nitrogen also in theform of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl andmicroelements. All plants were grown in the greenhouse until heading.Plant biomass (the above ground tissue) was weighted right afterharvesting the shoots (plant fresh weight [FW]). Following, plants weredried in an oven at 70° C. for 48 hours and weighed (plant dry weight[DW]).

Each construct was validated at its T₁ generation. Transgenic plantstransformed with a construct conformed by an empty vector carrying theBASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall size, fresh weight and drymatter. Transgenic plants performance was compared to control plantsgrown in parallel under the same conditions. Mock-transgenic plants withno gene and no promoter at all, were used as control (FIG. 9B).

The experiment was planned in blocks and nested randomized plotdistribution within them. For each gene of the invention fiveindependent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry shoot weight—In Heading assays when heading stagehas completed (about day 30 from sowing), the plants were harvested anddirectly weighed for the determination of the plant fresh weight onsemi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in adrying chamber for about 48 hours before weighting to determine plantdry weight (DW).

Time to Heading—In both Seed Maturation and Heading assays heading wasdefined as the full appearance of the first spikelet in the plant. Thetime to heading occurrence is defined by the date the heading iscompletely visible. The time to heading occurrence date was documentedfor all plants and then the time from planting to heading wascalculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in atleast 90% of the plots in an experiment have been documented at heading,measurement of leaf thickness was performed using a micro-meter on thesecond leaf below the flag leaf.

Plant Height—In both Seed Maturation and Heading assays once heading wascompletely visible, the height of the first spikelet was measured fromsoil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformedper plant after harvest, before weighing.

The genes listed in Table 102-105 improved plant biomass, growth rateand NUE when grown at low nitrogen concentration levels(nitrogen-limiting growth conditions; Tables 102-103) and at standard(normal) nitrogen growth conditions (Tables 104-105). These genesproduced faster developing plants as compared to control plants whichare grown under identical growth conditions, as measured by the increasein biomass (e.g., dry and fresh weight, leaf thickness) and in number oftillers.

TABLE 102 Genes showing improved plant performance at low Nitrogengrowth conditions under regulation of At6669 promoter Dry Weight FreshWeight [mg] [mg] Leaf Thickness Gene Event P- % P- % % Name # Ave. Val.Incr. Ave Val. Incr. Ave. P-Val. Incr. CONT. — 0.233 — — 0.88 — — 0.2056— — WNU78 1073 0.258 0.30 10.90 — — — — — — WNU44 1175 0.306 0.05 31.541.19 0.02 34.58 0.2254 0.0181 9.6251 WNU78 1184 0.287 0.09 23.48 1.130.05 28.48 0.2175 0.2384 5.7751 W NU78 1185 0.271 0.18 16.67 — — —0.2258 0.0073 9.8278 WNU78 1186 0.264 0.21 13.44 — — — — — — WNU44 11940.278 0.11 19.68 — — — — — — WNU87 1200 0.279 0.09 20.07 1.01 0.16 14.82WNU87 1204 0.265 0.22 13.80 — — — 0.2197 0.0600 6.8288 WNU92 1240 0.320.01 35.81 1.13 0.01 28.01 0.2251 0.0176 9.4630 Table 102.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value, L—p < 0.01.

TABLE 103 Genes showing improved plant performance at low Nitrogengrowth conditions under regulation of At6669 promoter Gene Event TillerNumber Time to Heading [day] Name # Ave. P-Val. % Incr. Ave. P-Val. %Incr. CONT. — 3.92 — — 28.84 — — WNU78 1073 — — — 27.54 0.24 −4.49 WNU441175 4.67 0.15 19.15 — — — WNU78 1184 — — — 27.00 0.19 −6.37 WNU78 1186— — — 27.25 0.18 −5.50 WNU44 1194 — — — 21.37 0.00 −25.91 WNU87 1200 — —— 26.46 0.04 −8.25 WNU87 1204 — — — 26.18 0.07 −9.20 WNU87 1206 4.550.25 16.17 26.90 0.09 −6.72 WNU92 1240 — — — 27.14 0.16 −5.88 Table 103.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value, L—p < 0.01.

It should be noted that a negative increment (in percentages) when foundin time to heading indicates potential for drought avoidance.

TABLE 104 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Dry Weight [mg] FreshWeight [mg] Gene Event P- % P- Leaf Thickness Name # Ave. Val. Incr.Ave. Val. % Incr. Ave. P-Val. % Incr. CONT — 0.448 — — 2.19 — — 0.2223 —— WNU78 1074 0.533 0.08 18.99 — — — — — — WNU44 1175 0.520 0.19 16.20 —— — 0.2375 0.0844 6.841612 WNU78 1184 0.576 0.04 28.77 2.68 0.04 22.48 —— — WNU78 1185 0.593 0.03 32.40 2.62 0.14 19.62 0.2354 0.1512 5.9044WNU78 1186 0.497 0.26 11.08 — — — — — — WNU44 1194 0.546 0.04 22.07 — —— — — — WNU87 1200 0.548 0.06 22.44 2.45 0.22 12.15 — — — WNU87 1201 — —— 2.49 0.22 13.89 0.2333 0.2509 4.9672 WNU87 1203 0.576 0.04 28.77 2.800.03 28.12 — — — WNU87 1204 0.580 0.01 29.52 2.48 0.17 13.37 — — — WNU871211 0.498 0.30 11.36 — — — 0.2367 0.1632 6.4667 WNU92 1240 0.636 0.0042.12 2.75 0.02 25.52 0.2345 0.2044 5.4920 Table 104. “CONT.”—Control;“Ave”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.

TABLE 105 Genes showing improved plant performance at Normal growthconditions under regulation of At6669 promoter Time to Heading GeneEvent Tiller Number [day] Name # Ave. P-Val. % Incr. Ave. P-Val. % Incr.CONT. — 5.81 — — 29.44 — — WNU78 1074 — — — 26.25 0.06 −10.83 WNU78 1186— — — 27.40 0.17 −6.92 WNU44 1194 — — — 23.00 L −21.87 WNU87 1200 7.790.15 34.05 — — — WNU87 1203 7.79 0.15 34.05 28.94 0.75 −1.68 WNU87 1204— — — 25.13 0.01 −14.65 WNU92 1240 — — — 27.52 0.19 −6.51 Table 105.“CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment;“p-val.”—p-value, L—p < 0.01.It should be noted that a negative increment (in percentages) when foundin time to heading indicates potential for drought avoidance.

Example 22 Evaluation of Transgenic Brachypodium Nue and Yield Under Lowor Normal Nitrogen Fertilization in Greenhouse Assay

Assay 2: Nitrogen Use Efficiency Measured Plant Biomass and Yield atLimited and Optimal Nitrogen Concentration Under Greenhouse ConditionsUntil Seed Maturation—

This assay follows the plant biomass and yield production of plants thatwere grown in the greenhouse at limiting and non-limiting nitrogengrowth conditions. Transgenic Brachypodium seeds were sown in peatplugs. The T₁ transgenic seedlings were then transplanted to27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. Thetrays were irrigated with a solution containing nitrogen limitingconditions, which were achieved by irrigating the plants with a solutioncontaining 3 mM inorganic nitrogen in the form of NH₄NO₃, supplementedwith 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements,while normal nitrogen levels were achieved by applying a solution of 6mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mMMgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grownin the greenhouse until seed maturation. Each construct was validated atits T₁ generation. Transgenic plants transformed with a constructconformed by an empty vector carrying the BASTA selectable marker wereused as control (FIG. 9B).

The plants were analyzed for their overall biomass, fresh weight and drymatter, as well as a large number of yield and yield components relatedparameters. Transgenic plants performance was compared to control plantsgrown in parallel under the same conditions. Mock-transgenic plants withno gene and no promoter at all (FIG. 9B). The experiment was planned inblocks and nested randomized plot distribution within them. For eachgene of the invention five independent transformation events wereanalyzed from each construct.

Phenotyping

Plant Fresh and Dry vegetative weight—In Seed Maturation assays whenmaturity stage has completed (about day 80 from sowing), the plants wereharvested and directly weighed for the determination of the plant freshweight (FW) and left to dry at 70° C. in a drying chamber for about 48hours before weighting to determine plant dry weight (DW).

Spikelets Dry weight (SDW)—In Seed Maturation assays when maturity stagehas completed (about day 80 from sowing), the spikelets were separatedfrom the biomass, left to dry at 70° C. in a drying chamber for about 48hours before weighting to determine spikelets dry weight (SDW).

Grain Yield per Plant—In Seed Maturation assays after drying ofspikelets for SDW, spikelets were run through production machine, thenthrough cleaning machine, until seeds were produced per plot, thenweighed and Grain Yield per Plant was calculated.

Grain Number—In Seed Maturation assays after seeds per plot wereproduced and cleaned, the seeds were run through a counting machine andcounted.

1000 Seed Weight—In Seed Maturation assays after seed production, afraction was taken from each sample (seeds per plot; ˜0.5 gr), countedand photographed. 1000 seed weight was calculated.

Harvest Index—In Seed Maturation assays after seed production, harvestindex was calculated by dividing grain yield and vegetative dry weight.

Time to Heading—In both Seed Maturation and Heading assays heading wasdefined as the full appearance of the first spikelet in the plant. Thetime to heading occurrence is defined by the date the heading iscompletely visible. The time to heading occurrence date was documentedfor all plants and then the time from planting to heading wascalculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in atleast 90% of the plots in an experiment have been documented at heading,measurement of leaf thickness was performed using a micro-meter on thesecond leaf below the flag leaf.

Grain filling period—In Seed Maturation assays maturation was defined bythe first color-break of spikelet+stem on the plant, from green toyellow/brown.

Plant Height—In both Seed Maturation and Heading assays once heading wascompletely visible, the height of the first spikelet was measured fromsoil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformedper plant after harvest, before weighing.

Number of reproductive heads per plant—In Heading assays manual count ofheads per plant was performed.

Statistical analyses—To identify genes conferring significantly improvedtolerance to abiotic stresses, the results obtained from the transgenicplants were compared to those obtained from control plants. To identifyoutperforming genes and constructs, results from the independenttransformation events tested were analyzed separately. Data was analyzedusing Student's t-test and results were considered significant if the pvalue was less than 0.1. The JMP statistics software package was used(Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Although the invention has been described in conjunction with specificembodiments thereof, it is evident that many alternatives, modificationsand variations will be apparent to those skilled in the art.Accordingly, it is intended to embrace all such alternatives,modifications and variations that fall within the spirit and broad scopeof the appended claims.

All publications, patents and patent applications mentioned in thisspecification are herein incorporated in their entirety by referenceinto the specification, to the same extent as if each individualpublication, patent or patent application was specifically andindividually indicated to be incorporated herein by reference. Inaddition, citation or identification of any reference in thisapplication shall not be construed as an admission that such referenceis available as prior art to the present invention. To the extent thatsection headings are used, they should not be construed as necessarilylimiting.

What is claimed is:
 1. A method of increasing nitrogen use efficiency,and/or tolerance to nitrogen deficiency of a plant, comprising: (a)over-expressing within the plant a polypeptide comprising the amino acidsequence set forth by SEQ ID NO: 204, (b) measuring dry and/or freshweight of a plant over-expressing said polypeptide under nitrogendeficiency, and (c) selecting a plant resultant from step (b)over-expressing said polypeptide and having an increased dry and/orfresh weight under said nitrogen deficiency as compared to a controlplant grown under the same growth conditions, thereby increasing thenitrogen use efficiency, and/or the tolerance to the nitrogen deficiencyof the plant.
 2. The method of claim 1, wherein a polynucleotideencoding said polypeptide comprises the nucleic acid sequence set forthby SEQ ID NO: 114 or SEQ ID NO:3, or a codon-optimized sequence thereof.3. The method of claim 1, further comprising growing the plantexpressing said exogenous polynucleotide under nitrogen-limitingconditions.
 4. The method of claim 1, further comprising: (d) isolatinga regenerable portion of said plant selected according to step (c)having said increased dry and/or fresh weight under said nitrogendeficiency as compared to a control plant under the same growthconditions so as to obtain isolated regenerable portion of said selectedplants; and (e) regenerating plants from said isolated regenerableportion of said selected plant to thereby obtain plants characterized bysaid increased nitrogen use efficiency and/or by said increasedtolerance to nitrogen deficiency.
 5. A method of increasing nitrogen useefficiency, and/or tolerance to nitrogen deficiency of a plant,comprising: (a) over-expressing within the plant a polypeptideexhibiting at least 95% sequence identity to the amino acid sequence setforth by SEQ ID NO:204 and having conservative amino acid substitutionswith respect to the amino acid sequence set forth by SEQ ID NO:204,wherein said polypeptide increases nitrogen use efficiency and/ortolerance to nitrogen deficiency of a plant, and (b) measuring dryand/or fresh weight of a plant over-expressing said polypeptide undernitrogen deficiency, and (c) selecting a plant resultant from step (b)over-expressing said polypeptide and having an increased dry and/orfresh weight under said nitrogen deficiency as compared to a controlplant grown under the same growth conditions, thereby increasing thenitrogen use efficiency, and/or the tolerance to the nitrogen deficiencyof the plant.
 6. The method of claim 5, further comprising: (d)isolating a regenerable portion of said plant selected according to step(c) having said increased dry and/or fresh weight under said nitrogendeficiency as compared to a control plant under the same growthconditions so as to obtain isolated regenerable portion of said selectedplants; and (e) regenerating plants from said isolated regenerableportion of said selected plant to thereby obtain plants characterized bysaid increased nitrogen use efficiency and/or by said increasedtolerance to nitrogen deficiency.
 7. The method of claim 5, wherein saidamino acid sequence is selected from the group consisting of SEQ ID NOs:204, and 4069-4073.
 8. The method of claim 5, wherein said amino acidsequence is set forth by SEQ ID NO: 204.